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SPE Reservoir Simulation Conference

10–11 April 2019 Moody Gardens Hotel and Convention Center Galveston, Texas, USA

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Conference Program

Conference Sponsor

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1Message from the Program Committee Chairperson

On behalf of the program committee, I welcome you to the SPE Reservoir Simulation Conference. This conference provides an opportunity to engage with other engineers and scientists to discuss applications in reservoir simulation. I am confident that you will gain new knowledge and skills to advance your professional goals.

This year we have 16 technical sessions, two poster luncheons, evening receptions, and multiple networking opportunities with other E&P professionals.

New simulation challenges have emerged due to rapid growth in unconventional resources, increasing complexity of field developments, and the advent of overarching technologies in big data and artificial intelligence. This conference will showcase the key drivers in reservoir simulation and the advancements which improve efficiency and profitability.

Don’t miss the Thursday evening Young Professionals Panel Session: “The Crystal Ball in Reservoir Simulation: What is in the Future for this Worldwide Technology?” Key industry experts will discuss the challenges and opportunities, not only from a petroleum engineering aspect, but also as a strategic area to their companies and countries of reach.

Take advantage of all of the learning and knowledge sharing available over these two days.

Thank you for attending and enjoy the conference!

Sincerely,

Hector Klie Chairperson DeepCast.ai

Table of Contents

Program Committee 2

Sponsors 4

Schedule of Events 6

Event Information 8

General Information 9

Technical Program 10

Young Professionals Panel 30

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Conference Information Conference Information2 3

Program Committee

Chairperson Hector KlieDeepCast.ai

Vice-ChairpersonJan Dirk JansenDelft University of Technology

Aquiles AgredaConocoPhillips

Faruk Omer AlpakShell

Andy AustinConsultant

Kyrre BratyedtSchlumberger

Hui CaoTotal E&P

Alberto CominelliEni E&P

Didier Yu DingIFP Energies nouvelles

Larry FungSaudi Aramco

Sebastian GeigerHeriot-Watt University

Eduardo GildinTexas A&M University

Ying GuoNORCE Norwegian Research Centre AS

Mohammad Karimi-fardStanford University

Knut-Andreas LieSINTEF

Ann MuggeridgeImperial College

Adolfo RodriguezOpenSim Technology

Pallav SarmaTachyus

Gareth ShawRidgeway Kite Software

Vijay ShrivastavaComputer Modelling Group Ltd.

Mary WheelerThe University of Texas at Austin

Yu-Shu WuColorado School of Mines

Xiao-hui WuExxonMobil Upstream Research Co.

Rami YounisUniversity of Tulsa

Don ZhangPeking University

Yifan ZhouChevron

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Thank You to Our Sponsors (as of 21 March 2019)

Conference Sponsor

Young Professionals Reception Sponsor, Pads and Pens Sponsor

Platinum Sponsor

Wednesday Networking Reception Sponsor Wednesday Luncheon Sponsor

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Moody Ballroom Foyer Moody Ballroom Salon D Moody Ballroom Salons F–H Exhibit Hall A Garden Cay

Wednesday, 10 April Wednesday, 10 April

0730–1700 Registration 0730–1700

0730–0830 Continental Breakfast 0730–0830

0830–0950Session 01:

Data AnalyticsSession 02:

Discretization I 0830–0950

0950–1020 Coffee Break 0950–1020

1020–1140Session 03:

High-Performance ComputingSession 04:

Gridding, Upscaling, Multiscale I 1020–1140

1140–1400 Poster Luncheon 1140–1400

1400–1520Session 05:

Integrated Modeling and Case Studies I

Session: 06: Geomechanics and

Unconventional Resources I1400–1520

1520–1540 Coffee Break 1520–1540

1540–1700Session 07:

Forecasting, Optimization, and CalibrationSession 08:

Complex Processes I 1540–1700

1700–1830 Networking Reception 1700–1830

Thursday, 11 April Thursday, 11 April

0730–1200 Registration 0730–1200

0730–0830 Continental Breakfast 0730–0830

0830–0950Session 09:

Data Assimilation and Uncertainty QuantificationSession 10:

Discretization II 0830–0950

0950–1020 Coffee Break 0950–1020

1020–1140Session 11:

Linear and Nonlinear SolversSession 12:

Gridding, Upscaling, Multiscale II 1020–1140

1140–1400 Poster Luncheon 1140–1400

1400–1520Session 13:

Integrated Modeling and Case Studies II

Session 14: Geomechanics and

Unconventional Resources II1400–1520

1520–1540 Coffee Break 1520–1540

1540–1700Session 15:

Reduced and Fast Simulation ModelsSession 16:

Complex Processes II 1540–1700

1715–1900 Young Professionals Panel Session 1715–1900

1900–2000Young Professionals

Networking Reception 1900–2000

Schedule of Events (as of 21 March 2019) Schedule of Events (as of 21 March 2019)

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Event Information

Registration and Badge Pick-UpRegistration will be available at the Moody Ballroom Foyer, starting Tuesday, 9 April.

Registration Hours

Tuesday, 9 April 1400–1800

Wednesday, 10 April 0730–1700

Thursday, 11 April 0730–1200

Speaker Check-inSpeaker check-in and Speaker Ready will be located in Ivy Room I. Speakers are requested to check in prior to reporting to their assigned session room.

Speaker Check-In Hours

Tuesday, 9 April 1400–1800

Wednesday, 10 April 0730–1700

Thursday, 11 April 0730–1700

Continental Breakfasts

Wednesday, 10 April0730–0830, Moody Ballroom Foyer

Thursday, 11 April0730–0830, Moody Ballroom Foyer

Coffee Breaks

Wednesday, 10 April0950–1020, Moody Ballroom Foyer1520–1540, Moody Ballroom Foyer

Thursday, 11 April0950–1020, Moody Ballroom Foyer1520–1540, Moody Ballroom Foyer

Poster Luncheons Poster authors will present 1245–1345 on Wednesday and Thursday during the luncheon.

Wednesday, 10 April1140–1400, Exhibit Hall A

Thursday, 11 April1140–1400, Exhibit Hall A

Networking Reception

Wednesday, 10 April1700–1830, Exhibit Hall A

Young Professionals Networking Reception

Thursday, 11 April1900–2000, Garden Cay

General Information

Consent to Use of MultimediaAttendance or participation in SPE meetings and other activities constitutes an agreement by the registrant to SPE’s use and distribution of the registrant’s image or voice in promoting future SPE meetings in any way SPE deems appropriate.

Copyright InformationAll conference sessions are protected by international copyright laws. Unauthorized photography, video, and audio recording of any kind are strictly prohibited in the sessions and throughout the exhibition area.

About the Society of Petroleum EngineersThe Society of Petroleum Engineers (SPE) is a not-for-profit professional association whose more than 156,000 members in 154 countries are engaged in oil and gas exploration and production. SPE is a key resource for technical knowledge providing publications, events, training courses, and online resources at www.spe.org.

Join SPEBy attending this event, nonmember full registration attendees can join SPE at no additional cost. Ensure you are signed up for SPE communications, and then look for your exclusive offer by email shortly after the event.


10 11Technical Program Technical Program

Technical Program (as of 21 March 2019)

Wednesday, 10 April 2019 | 0830–0950 Moody Ballroom Salon D

01 Data AnalyticsSession Chairpersons: Faruk Omer Alpak, Shell; Rami Younis, University of Tulsa

Probabilistic and robust data-driven methods promise to enable practical prediction and optimization of large-scale energy operations. The development of computationally efficient hybrid approaches that combine models of the underlying physics with data-driven techniques (e.g. reduced order modeling) is essential to delivering good on this promise. The validation of the predictive power and efficacy of such models can pave the path towards ubiquitous adoption.

Time Paper # Presentation

0830 193831Non-Intrusive Reduced Order Modelling for Reconstruction of Saturation DistributionsW.J. Kostorz, A.H. Muggeridge, M.D. Jackson, Imperial College London; A. Moncorge, Total E&P UK Ltd

0850 193878

Accelerated Compositional Simulation of Tight Oil and Shale Gas Reservoirs Using Proxy Flash CalculationS. Wang, Colorado School of Mines; N. Sobecki, D. Ding, IFPEN; Y. Wu, Colorado School of Mines; L. Zhu, Schlumberger Doll Research Center

0910 193904Data-Driven Discovery of Unconventional Shale Reservoir DynamicsH.M. Klie, DeepCast; H. Florez, Texas A&M University

0930 193912Deep Model Reduction-Model Learning for Reservoir SimulationJ. Zhang, S. Cheung, Y. Efendiev, E. Gildin, Texas A&M University; E. Chung, The Chinese University of Hong Kong

Alternate 193848IOR Pilot Evaluation In Brown-field Fractured Reservoir Using Data Analytics of Reservoir Simulation Results J. He, M. Hui, Chevron ETC

Alternate 193811Artificial Neural Network Modeling of Compaction-Dilation Data For Unconventional Oil Reservoirs E. Fedutenko, L.X. Nghiem, C. Yang, T. Chen, M. Seifi, Computer Modelling Group Ltd.


Wednesday, 10 April 2019 | 0830–0950 Moody Ballroom Salons F–H

02 Discretization ISession Chairpersons: Larry Fung, Saudi Aramco; Gareth Shaw, Ridgeway Kite Software

This session includes papers on the thermodynamic stability of high-Pc multicomponent mixtures, discontinuous Galerkin discretization for three-component three-phase models, high resolution compositional simulation using adaptive spatial refinement and optimal ordering of unknowns, and a von Neumann stable scheme for the linear advection-diffusion-reaction equation.


0830 193888Thermodynamic Stability Analysis of Multi-Component Mixtures with Capillary PressureS.S. Neshat, R. Okuno, G.A. Pope, The University of Texas at Austin

0850 193906Flexible Discretizations Of The Three-component Three-phase Flow ProblemL. Cappanera, B. Riviere, Rice University

0910 193934

Implicit High-Resolution Compositional Simulation With Optimal Ordering of Unknowns and Adaptive Spatial RefinementØ.S. Klemetsdal, O. Møyner, Norwegian University of Science and Technology/SINTEF Digital; K. Lie, SINTEF Digital

0930 193817Von Neumann Stable, Implicit, High Order, Finite Volume WENO SchemesT.J. Arbogast, The University of Texas at Austin; C. Huang, National Sun Yat-sen University; X. Zhao, The University of Texas at Austin

Alternate 193853Boundary Segments for Multisegment Well ModelsT.W. Stone, F. McKee, C. Istchenko, Schlumberger

Alternate 193905Modelling of Electromagnetic Heating Process and Its Applications in Oil Sands D. Ji, T. Harding, Z. Chen, M. Dong, H. Liu, University of Calgary


12 13Technical ProgramTechnical Program



03 High-Performance ComputingSession Chairpersons: Andy Austin, Consultant; Hui Cao, Total

Recent advances in modern parallel computing architectures have motivated new strategies for reservoir simulation and also led to revivals of some older ideas. The talks in this session cover a wide variety of High-Performance Computing topics, ranging from CPU to GPU to Cloud in hardware architectures, from Multiscale solver to AI-based adaptive preconditioning to dynamic mesh and load balance in algorithms.


1020 193880A Massively Parallel Algebraic Multiscale Solver for Reservoir Simulation on the GPU Architecture A.M. Manea, T.M. Almani, Saudi Aramco

1040 193872

An Adaptive Preconditioning Strategy to Speed up Parallel Reservoir SimulationsK. Wang, H. Liu, University of Calgary; L. Yan, Exploration and Development Research Institute, PetroChina; J. Luo, University of Calgary; K. Wu, China University of Petroleum, Beijing; J. Li, University of Calgary; F. Chen, Research Inst Petr Expl & Dev; X. Dong, China University of Petroleum, Beijing; Z. Chen, University of Calgary

1100 193871Compact Stacked Contour Applied To Full Field Simulation LifecycleU. Middya, P.I. Crumpton, Saudi Aramco PE&D

1120 193932Integrated Framework for Modelling of Thermal-Compositional Multiphase Flow in Porous MediaM. Khait, D. Voskov, Delft University of Technology


Wednesday, 10 April 2019 | 1020–1140 Moody Ballroom Salons F-H

04 Gridding, Upscaling and Multiscale ISession Chairpersons: Mary Wheeler, The University of Texas at Austin; Don Zhang, Peking University

This session discusses a number of multiscale methods for conventional and unconventional reservoirs such as algebraic multilevel for geothermal reservoirs, cut-cell schemes for dynamic unstructured grids, constrained energy minimization for generalized multiscale finite element method, upscaling complex fracture networks to dual porosity dual permeability models.


1020 193894Algebraic Dynamic Multilevel Method for Fractured Geothermal Reservoir SimulationM. Hosseinimehr, R. Arbarim, M. Cusini, C. Vuik, H. Hajibeygi, Delft University of Technology

1040 193874Three-Dimensional Geological Boundary Aligned Unstructured Grid Generation, and CVD-MPFA Flow ComputationS. Manzoor, Saudi Aramco; M.G. Edwards, Swansea University; A.H. Dogru, Saudi Aramco

1100 193889Nonlinear Upscaling Of Two-phase Flow Using Non-local Multi-continuum Approach W. Leung, The University of Texas at Austin; E. Chung, Chinese University of Hong Kong; Y. Efendiev, M. Vasilyeva, Texas A&M University; M. Wheeler, The University of Texas at Austin

1120 193864High Fidelity Simulation of Recovery Mechanisms in Complex Natural Fracture Systems H.X. Vo, J. Kamath, M. Hui, Chevron Energy Technology Company

Alternate 193852Upscaling of Sub-seismic 3D Fault Zone Structure: A Comparison Between Template-based and Flow-based Geometrical Upscaling ApproachM.S. Islam, Dhofar University; T. Manzocchi, University College Dublin


14 15Technical Program Technical Program

Wednesday Poster Luncheon

Wednesday, 10 April 2019 | 1140–1400 Exhibit Hall A

Poster authors will present 1245–1345 during the luncheon.Poster Chair: Hector Klie, DeepCast.ai

Poster Paper # Presentation

1 193848IOR Pilot Evaluation In Brown-field Fractured Reservoir Using Data Analytics of Reservoir Simulation Results J. He, M. Hui, Chevron ETC

2 193811Artificial Neural Network Modeling of Compaction-Dilation Data For Unconventional Oil Reservoirs E. Fedutenko, L.X. Nghiem, C. Yang, T. Chen, M. Seifi, Computer Modelling Group Ltd.

3 193853Boundary Segments for Multisegment Well Models T.W. Stone, F. McKee, C. Istchenko, Schlumberger

4 193905Modelling of Electromagnetic Heating Process and Its Applications in Oil Sands D. Ji, T. Harding, Z. Chen, M. Dong, H. Liu, University of Calgary

5 193852Upscaling of Sub-seismic 3D Fault Zone Structure: A Comparison Between Template-based and Flow-based Geometrical Upscaling Approach M.S. Islam, Dhofar University; T. Manzocchi, University College Dublin

6 193893A Geomechanically-Constrained Dynamic Fractal Wormhole Growth Model for Simulating Cold Heavy Oil Production with Sand H. Yu, J.Y. Leung, University of Alberta

7 193818

A Compositional Model for Gas Injection IOR/EOR in Tight Oil Reservoirs under Coupled Nanopore Confinement and Geomechanics Effects Y. Tian, Y. Xiong, L. Wang, Colorado School of Mines; Z. Lei, Y. Zhang, Research Institute of Petroleum Exploration and Development; X. Yin, Y. Wu, Colorado School of Mines

8 193858Coupled Numerical Simulation of Transient Microseismicity and Flow In Fractured Reservoirs Z. Han, G. Ren, R. Younis, University of Tulsa

9 193837Robust Optimization of ASP Flooding Under Oil Price Uncertainty H. Li, C. Dang, A. Mirzabozorg, C. Yang, L.X. Nghiem, Computer Modelling Group Ltd.

10 193898Parameterization of Element Balance Formulation in Reactive Compositional Flow and Transport K. Kala, D.V. Voskov, M.H. Ammiwala, Delft University of Technology

11 193828Quantifying Near-Wellbore Permeability Including Fractures Using Real-Time Pressure from Distributed Downhole Measurements C. Beokhaimook, PTTEP; H. Kazemi, Colorado School of Mines

12 193924

Simulation of Inter-fracture Injection and Production in Tight Reservoirs Based on Compartmental Embedded Discrete Fracture Model Y. He, Z. Chai, J. Huang, Texas A&M University; P. Li, S. Cheng, China University of Petroleum, Beijing; J.E. Killough, Texas A&M University

Wednesday Poster Luncheon

Wednesday, 10 April 2019 | 1140–1400 Exhibit Hall A

Poster authors will present 1245–1345 during the luncheon.Poster Chair: Hector Klie, DeepCast.ai


13 193843Numerical and Experimental Analysis of Diffusion and Sorption Kinetics Effects in Marcellus Shale Gas Transport M. Zhang, N. Chakraborty, Z.T. Karpyn, H. Emami Meybodi, L.F. Ayala, Pennsylvania State University

14 193845Rapid Forecast Calibration Using Nonlinear Simulation Regression with Localization J. He, W. Sun, X. Wen, Chevron

15 193834Production Data Integration into Complex Geologic Facies Models: Exploiting the Behavior of Multiple-Point Statistical Simulation for Effective Data Conditioning W. Ma, B. Jafarpour, University of Southern California

16 193879A General Framework Model for Fully Coupled Thermal-Hydraulic-Mechanical Simulation of CO2 EOR Operations S. Wang, Colorado School of Mines; Y. Di, Peking University; Y. Wu, P.H. Winterfeld, Colorado School of Mines

17 193856Closed-Loop Stochastic Oilfield Optimization under Uncertainty in Geologic Description and Future Development Plans A. Jahandideh, B. Jafarpour, University of Southern California

18 193920Optimization Based Well Management For Coupling Giant Reservoir Models U. Middya, P.I. Crumpton, T. Qasim, Saudi Aramco PE&D

19 193875Higher Resolution Unstructured Spectral Finite-volume Method for Flow in Porous Media Y. Xie, Henan University; M.G. Edwards, Swansea University

20 193844A Bayesian Sampling Framework with Seismic Priors for Data Assimilation and Uncertainty Quantification S. Nejadi, N. Kazemi, S.M. Hubbard, I.D. Gates, University of Calgary

21 193855Implementation of Physics-Based Data-Driven Models with a Commercial Simulator G. Ren, University of Tulsa; J. He, Chevron Corporation; R. Younis, University of Tulsa; X. Wen, Chevron Corporation





05 Integrated Modeling and Case Studies ISession Chairpersons: Xiao-hui Wu, ExxonMobil Upstream Research Co.; Kyrre Bratvedt, Schlumberger

Reservoir simulation often needs to be tailored to specific applications to better represent the underlying physical processes. Papers in this session provide case studies of integrating reservoir simulation with geo-mechanics, flows in multi-segment wells, high-order methods for various modeling purposes, as well as insight into the development of complex simulation systems.


1400 193849Optimal Design of CO2 Sequestration with Coupled Flow-Geomechanics Simulation and Evolution StrategyX. Lu, B. Ganis, M.F. Wheeler, The University of Texas at Austin

1420 193839Comparison of Higher Order Schemes on Complicated Meshes and ReservoirsA. Kvashchuk, University of Stavanger/The National IOR Centre of Norway; R. Klöfkorn, NORCE Norwegian Research Centre/The National IOR Centre of Norway; T. Sandve, NORCE Norwegian Research Centre

1440 193833Sequential Implicit Newton Method for Coupled Multi-segment WellsJ. Li, Z.Y. Wong, P. Tomin, H.A. Tchelepi, Stanford University

1500 193929

Integrated Asset Modeling of a Deep-Offshore Subsea Development Using 2 Complementary Reservoir-Surface Coupling WorkflowsG. Darche, R. Marmier, P. Samier, R.T. Bursaux, N. Guillonneau, Total SA; J. Long, H.M. Kalunga, H. Cao, R. Zaydullin, Total E&P

Alternate 193893A Geomechanically-Constrained Dynamic Fractal Wormhole Growth Model for Simulating Cold Heavy Oil Production with SandH. Yu, J.Y. Leung, University of Alberta


Wednesday, 10 April 2019 | 1400–1520 Moody Ballroom Salons F–H

06 Geomechanics and Unconventional Resources ISession Chairpersons: Adolfo Rodriguez, OpenSim Technology; Aquiles Agreda, ConocoPhillips

Geomechanics plays an important role on the economical exploitation of unconventional reservoirs due to the complex interaction between mechanical and flow mechanisms arising from natural and induced fractures, among other phenomena. This session will present some of the latest advances in modeling and simulation of geomechanics and its coupling to the fluid-flow processes with specific applications to hydraulic fracturing, compaction and subsidence.


1400 193908Coupled Numerical Simulation of Thermal-Reactive Flow and Geomechanics with Solid Mass Conversion F.O. Alpak, J.C. Vink, Shell

1420 193867Tight Oil And Shale Gas PVT Modelling For Flow Simulation With Matrix-fracture InteractionN. Sobecki, IFPEN; S. Wang, Colorado School of Mines; Y.D. Ding, C. Nieto-Draghi, IFPEN; Y. Wu, Colorado School of Mines

1440 193901A Numerical Method for Hydraulic Fracture Propagation Using Embedded Meshes G. Ren, R. Younis, University of Tulsa

1500 193884A Framework for Incorporating Nanopores in Compositional Simulation to Model the Unusually High GOR Observed in Shale ReservoirsS. Luo, J.L. Lutkenhaus, H. Nasrabadi, Texas A&M University

Alternate 193818

A Compositional Model for Gas Injection IOR/EOR in Tight Oil Reservoirs under Coupled Nanopore Confinement and Geomechanics Effects Y. Tian, Y. Xiong, L. Wang, Colorado School of Mines; Z. Lei, Y. Zhang, Research Institute of Petroleum Exploration and Development; X. Yin, Y. Wu, Colorado School of Mines

Alternate 193858Coupled Numerical Simulation Of Transient Microseismicity and Flow In Fractured ReservoirsZ. Han, G. Ren, R. Younis, University of Tulsa





07 Forecasting, Optimization and CalibrationSession Chairpersons: Jan Dirk Jansen, Delft University of Technology; Alberto Cominelli, Eni E&P

Models are built to make predictions and reservoir engineers want to add value to projects by optimizing forecasts with respect to problem controllable options, e.g. how many injection/production wells and where to drill them? In this session, papers will focus on robust optimization of well controls, type and trajectory, and on reservoir management with multi-objective type optimization for chemical EOR projects. Robustness of forecast may benefit from history matching, e.g. with cross-well electromagnetic data.


1540 193925An SQP-Filter Algorithm with an Improved Stochastic Gradient for Robust Life-Cycle Optimization Problems with Nonlinear ConstraintsL. Zhe, A.C. Reynolds, University of Tulsa

1600 193860History Matching and Optimal Design of Chemically Enhanced Oil Recovery Using Multi-Objective OptimizationZ. Zhang, H. Jung, A. Datta-gupta, Texas A&M University; M. Delshad, The University of Texas at Austin

1620 193808Efficient Assimilation of Crosswell Electromagnetic Data using Ensemble-based History-matching FrameworkY. Zhang, I. Hoteit, King Abdullah University of Science and Technology (KAUST)

1640 193885Joint Optimization of Well Locations, Types, Drilling Order and Controls Given a Set of Potential Drilling PathsR. Lu, The University of Tulsa; A.C. Reynolds, University of Tulsa

Alternate 193837Robust Optimization of ASP Flooding Under Oil Price Uncertainty H. Li, C. Dang, A. Mirzabozorg, C. Yang, L.X. Nghiem, Computer Modelling Group Ltd.


Wednesday, 10 April 2019 | 1540–1700 Moody Ballroom Salons F-H

08 Complex Processes ISession Chairpersons: Jianxin “Jessie” Lu, Halliburton; Yifan Zhou, Chevron

Increasing energy demand has led to the development of increasingly complex recovery processes. Papers in this session are focused on models for representing those processes in our reservoir simulators and the solutions to the numerical challenges that arise when modeling processes such as foams, thermal EOR, compositional and reactive transport.


1540 193907Analysis of Near-Miscible CO2-WAG Displacements: the Distinction between Compositional And Interfacial Tension Effects G. Wang, G.E. Pickup, K.S. Sorbie, E.J. Mackay, Heriot-Watt University; A. Skauge, University of Bergen

1600 193851Efficient and Robust Solver For Multiphase Rachford-Rice Equations In Compositional and Thermal Simulations H. Pan, Stanford University; M. Imai, JOGMEC; M. Connolly, H.A. Tchelepi, Stanford University

1620 193868A Mechanistic Foam Simulator Incorporating Systematic Dependencies of Various Foam Properties on PermeabilityH. Luo, K. Ma, K. Mateen, G. Ren, V. Neillo, C. Blondeau, G. Bourdarot, D.C. Morel, Total

1640 193909Modeling the Effect of Reaction Kinetics and Dispersion during Low-Salinity WaterfloodingD. Magzymov, P. Purswani, Z.T. Karpyn, R.T. Johns, EMS Energy Institute, The Pennsylvania State University

Alternate 193898Parameterization of Element Balance Formulation in Reactive Compositional Flow and TransportK. Kala, D.V. Voskov, M.H. Ammiwala, Delft University of Technology

Alternate 193828Quantifying Near-Wellbore Permeability Including Fractures Using Real-Time Pressure from Distributed Downhole MeasurementsC. Beokhaimook, PTTEP; H. Kazemi, Colorado School of Mines




Thursday, 11 April 2019 | 0830–0950 Moody Ballroom Salon D

09 Data Assimilation and Uncertainty QuantificationSession Chairpersons: Pallav Sarma, Tachyus; Jose Villa, Total

Data assimilation and uncertainty quantification are key to ensuring that models honor historical data and provide reliable and robust predictions. This session explores different data assimilation, uncertainty quantification, parameterization, and related techniques, such as Gaussian Mixture Models (GMM), variants of Principal Component Analysis (PCA), Value of Information (VOI) and Decision Analysis (DA), Randomized Maximum Likelihood (RML) and more.


0830 193910Benchmarking of Advanced Methods for Assisted History Matching and Uncertainty Quantification M. Araujo Fresky, C. Chen, G. Gao, J.W. Jennings, B. Ramirez, J.Z. Xu, T. Yeh, F.O. Alpak, P. Gelderblom, Shell

0850 193838Identifiability of Model Discrepancy Parameters In History Matching M.H. Rammay, A.H. Elsheikh, Heriot-Watt University; Y. Chen, Total E&P UK Ltd

0910 193895Multilevel Strategies And Geological Parameterizations For History Matching Complex Reservoir Models Y. Liu, L.J. Durlofsky, Stanford University

0930 193916Reduced Degrees of Freedom Gaussian Mixture Model Fitting for Large Scale History Matching Problems G. Gao, H. Jiang, C. Chen, J.C. Vink, Y. ElKhamra, J.J. Ita, F.E. Saaf, Shell

Alternate 193869Simplified Use of CLRM to Study Value of Saturation Assimilation on a Synthetic Green Field C. Malagon-Nieto, R.B. Bratvold, University of Stavanger; R.G. Hanea, Equinor Research and Technology; J. Rafiee, University of Tulsa

Alternate 193926Investigation of the Correlation Between the Quality of History Matching and that of Forecasting A.T. Tinni, P.R. King, Imperial College London


Thursday, 11 April 2019 | 0830–0950 Moody Ballroom Salons F-H

10 Discretization IISession Chairpersons: Ying Guo, NORCE Norwegian Research Centre AS; Sebastian Geiger, Heriot-Watt University

The accurate spatial and temporal discretization of the PDEs describing multi-physics processes in heterogeneous reservoirs is of fundamental importance for reliable and efficient forecasting of reservoir performance using numerical simulations. Papers in this session discuss higher-order methods and discretization techniques suitable for unstructured grids to enable the efficient and accurate simulation of challenging recovery mechanisms such as acidizing and enhanced oil recovery in structurally complex reservoirs across multiple scales.


0830 193862

Numerical Simulation of Matrix Acidizing in Fractured Carbonate Reservoirs Using Adaptive Enriched Galerkin Method R. Dong, The University of Texas at Austin; S. Lee, Florida State University; M.F. Wheeler, The University of Texas at Austin

0850 193919A Three-Dimensional Symmetric Positive Definite Control-Volume Distributed Multi-Point Flux Approximation For Flow Computation On Tetrahedral Grids R. Ahmed, Dimue Technology; M.G. Edwards, Swansea University

0910 193865A Calibrated Model for the Carbonate-Brine-Crude Oil Surface Chemistry and its Effect on The Rock Wettability, Dissolution, and Mechanical Properties M. Bonto, A. Eftekhari, H. M. Nick, Technical University of Denmark

0930 193913Modeling of Cosolvents in a Fully-Implicit Surfactant Flood Simulator Using the Three Level Framework C. Han, X. Shi, Y. Chang, C. Wolfsteiner, B. Guyaguler, Chevron

Alternate 193935Numerical Error Quantification of Agent-based Models as Applied to Oil Reservoir Simulation B. Doyle, B. Riviere, Rice University





11 Linear and Nonlinear SolversSession Chairpersons: Yifan Zhou, Chevron; Hector Klie, DeepCast.ai

Latest challenges in reservoir simulation are demanding the development of scalable linear and nonlinear solvers that can reliably and efficiently track the dynamics entailed by multiple physics at different levels of resolution. In this session, we will address novel algorithmic enhancements to multigrid and continuation methods to deal with highly heterogeneous porous media and fully coupled flow/geomechanics systems commonly arising on fractured media simulations.


1020 193870Application of Algebraic Smoothing Aggregation Two Level Preconditioner to Multiphysics Fluid Flow Simulations in Porous Media S. Wang, Colorado School of Mines; A. Lukyanov, Harvard University; Y. Wu, Colorado School of Mines

1040 193922

Distributed Parallel Hybrid CPU-GPGPU Implementation of the Phase-Field Method for Accelerated High-Accuracy Simulations of Pore-Scale Two-Phase Flow C. Thiele, Rice University; M. Araya-Polo, F.O. Alpak, Shell International Exploration & Production, Inc.; B. Riviere, Rice University

1100 193887System-AMG for Fully Coupled Reservoir Simulation with Geomechanics S. Gries, B. Metsch, Fraunhofer Institute SCAI; K.M. Terekhov, P. Tomin, Energy Resources Engineering, Stanford University

1120 193886Unstructured CVD-MPFA Reduced-dimensional DFM Models for Two-phase Flow, Coupled With Higher Resolution Hybrid Upwind Methods Y. Xie, Henan University; M.G. Edwards, Swansea University



12 Gridding, Upscaling and Multiscale IISession Chairpersons: Knut-Andreas Lie, SINTEF; Larry Fung, Saudi Aramco

This session discusses aggregation-based methods for grid coarsening, how to validate such upscaling methods, a new method to accelerate iterative multiscale solvers, as well as embedded discrete fracture modeling.


1020 193881Recent Developments in Unstructured Aggregation-Based Upscaling for Simulation Workflows and Applications S.G. Thomas, S. Du, G. Dufour, B.T. Mallison, P. Muron, A. Rey, Chevron ETC

1040 193891Validation of a Non-uniform Coarsening and Upscaling Framework A. Guion, ExxonMobil Upstream Research Co.; B. Skaflestad, K. Lie, SINTEF; X. Wu, ExxonMobil Upstream Research Co.

1100 193812Adjoint-based Adaptive Convergence Control of the Iterative Finite Volume Multiscale Method W. DeZeeuw, R. Moraes, A. Heemink, J. Jansen, Delft University of Technology

1120 193827A Robust Embedded Discrete Fracture Modeling Workflow for Simulating Complex Processes in Field-Scale Fractured Reservoirs M. Hui, G. Dufour, S. Vitel, P. Muron, R. Tavakoli, M. Rousset, A. Rey, B.T. Mallison, Chevron



Thursday Poster Luncheon

Thursday, 11 April 2019 | 1140–1400 Exhibit Hall A

Poster authors will present 1245-1345 during the luncheon.Thursday Poster Chair: Jan Dirk Jansen, Delft University of Technology


22 193869Simplified Use of CLRM to Study Value of Saturation Assimilation on a Synthetic Green Field C. Malagon-Nieto, R.B. Bratvold, University of Stavanger; R.G. Hanea, Equinor Research and Technology; J. Rafiee, University of Tulsa

23 193926Investigation of the Correlation Between the Quality of History Matching and that of Forecasting A.T. Tinni, P.R. King, Imperial College London

24 193935Numerical Error Quantification of Agent-based Models as Applied to Oil Reservoir Simulation B. Doyle, B. Riviere, Rice University

25 193883Robust Multi-Objective Field Development Optimization for the Mariner Asset R.G. Hanea, O. Bjørlykke, Y. Hashmi, T. Feng, Equinor; R.M. Fonseca, TNO

26 193914A Comprehensive Adaptive Forecasting Framework for Optimum Field Development Planning A. Salehi, G. Hetz, F. Olalotiti-lawal, N. Sorek, H. Darabi, D. Castineira, Quantum Reservoir Impact LLC

27 193841INSIM-FT-3D: A Three-Dimensional Data-Driven Model for History Matching and Waterflooding Optimization Z. Guo, Occidental Petroleum Corporation; A.C. Reynolds, University of Tulsa

28 193900Single Block Productivity Approach—How it Identifies and Isolates Multiple Fracture Network Variants and Helps Improve History Matching and Prediction in Unconventional Reservoirs Using Reservoir Simulator E. Gildin, S.P. Kaul, Texas A&M University; R.F. Vaz, Marob Consulting

29 193921History Matching an Unconventional Reservoir with a Complex Fracture Network L. Zhe, A.C. Reynolds, University of Tulsa

30 193842Design of Warm Solvent Injection Processes for Heterogeneous Heavy Oil Reservoirs: A Hybrid Workflow of Multi-Objective Optimization and Proxy Models Z. Ma, J.Y. Leung, University of Alberta

31 193882Impact of WAG Design on Calcite Scaling Risk in Coupled CO2-EOR and Storage Projects in Carbonate Reservoirs H.W. Rodrigues, E.J. Mackay, D. Arnold, Heriot-Watt University

32 193835A Natural Variable Well Model for Advanced Thermal Simulation Y. Zhou, G. Li, Chevron Energy Technology Company; V.J. Zapata, Chevron (Retired)

33 193829Integration of Deep Learning and Data Analytics for SAGD Temperature and Production Analysis Z. Ma, J.Y. Leung, University of Alberta

Thursday Poster Luncheon

Thursday, 11 April 2019 | 1140–1400 Exhibit Hall A

Poster authors will present 1245-1345 during the luncheon.Thursday Poster Chair: Jan Dirk Jansen, Delft University of Technology


34 193923An Interactive Workflow And Data Analytics For Model-based Production Optimization: A Waterflooding Example J. Fu, L. Libby, Chevron

35 193846An Open Source Numerical Framework for Dual-Continuum Geomechanical Simulation M. Ashworth, F. Doster, Heriot-Watt University

36 193927Quasi-K-Orthogonal Grid Generation S. Manzoor, Saudi Aramco; M.G. Edwards, Swansea University; A.H. Dogru, Saudi Aramco

37 193931A Geomechanics-Coupled Embedded Discrete Fracture Model and Its Applications in Geothermal Reservoir Simulation X. Yu, P.H. Winterfeld, S. Wang, C. Wang, L. Wang, Y. Wu, Colorado School of Mines

38 193897Hybrid Mixed Mimetic Discritization Scheme For Reservoir Simulation A.S. Abushaikha, Hamad Bin Khalifa University; K. Terekhov, Russian Academy of Sciences

39 193824Dynamic Modeling and Design Optimization of Cyclonic Autonomous Inflow Control Devices S.F. Gurses, G. Chochua, A. Rudic, A. Kumar, Schlumberger

40 193861Ranking Fractured Reservoir Models Using Flow Diagnostics V.E. Spooner, S. Geiger, D. Arnold, Heriot-Watt University





13 Integrated Modeling and Case Studies IISession Chairpersons: Andy Austin, Consultant; Vijay Shrivastava, Computer Modelling Group Ltd.

Continuing the focus on integrated modeling and case studies, this session covers interesting topics on uncertainty assessment, time step selection during reservoir simulation, integrated reservoir and surface facilities modeling, and an integrated simulation of thermal, compositional, and reactive transport mechanisms. The session also discusses the idea of mesh-free simulation in unconventional reservoirs with discrete facture networks, and identification of uncertainty in operational parameters impacting field development.


1400 193918Markov Chain Monte Carlo Uncertainty Quantification with a Least-Squares Support Vector Regression Proxy E.P. Sousa, The University of Tulsa and Petrobras; A.C. Reynolds, University of Tulsa

1420 193809Robust Fuzzy Timestep Selector for a Fully Implicit Reservoir Simulator P.I. Crumpton, Saudi Aramco PE&D

1440 193903Insights into Development and Application of a Reservoir Simulator: A Study on Agile Processes to Enhance Simulator Testing, Benchmarking, and Deployment S. Kumar, M. Talpallikar, E. Valbuena, P. Nguyen, B. Velusamy, Chevron Corporation

1500 193816A New Framework for the Integrated Reservoir and Surface Facilities Modeling R. Zaydullin, H. Cao, T.Y. Liao, E. Obi, Total E&P USA, Inc.

Alternate 193883Robust Multi-Objective Field Development Optimization for the Mariner Asset R.G. Hanea, O. Bjørlykke, Y. Hashmi, T. Feng, Equinor; R.M. Fonseca, TNO



14 Geomechanics and Unconventional Resources II Session Chairpersons: Mohammad Karimi-fard, Stanford University; Yu-Shu Wu, Colorado School of Mines

This session focuses on geomechanical behavior of unconventional reservoirs. In particular, numerical techniques for multiphase flow coupled with geomechanics, fracture modeling, and fracture propagation will be discussed.


1400 193850General Semi-Structured Discretizations for Flow and Geomechanics on Diffusive Fracture Networks M. Jammoul, B. Ganis, M.F. Wheeler, The University of Texas at Austin

1420 193873Multiscale Computations of Hydraulic Fracture Propagation in Low-Permeability Heterogeneous Rocks R.G. Wan, M. Eghbalian, M. Pouragha, University of Calgary; L.S. Fung, Saudi Aramco PE&D

1440 193825A Multiphysics Fully-Coupled Flow and Geomechanics Simulation System with Hydraulic-Fracturing Simulation Capability F.O. Alpak, Shell International Exploration and Production Inc.

1500 193830

Unconventional Reservoir Management Modeling Coupling Diffusive Zone/Phase Field Fracture Modeling and Fracture Probability Maps M.F. Wheeler, The University of Texas at Austin; S. Srinivasan, Pennsylvania State University; S. Lee, Florida State University; M. Singh, Pennsylvania State University





15 Reduced and Fast Simulation ModelsSession Chairpersons: Rami Younis, University of Tulsa; Hector Klie, DeepCast.ai

The computational cost associated with reservoir simulations can be of budget concern on projects dealing with highly complex scenarios. Furthermore, these costs can be significantly exorbitant for the purpose of performing detailed history matching, production optimization, and uncertainty quantification studies. In this session, we will learn about recent advances on reduced order and data-driven models to substantially mitigate computational costs while still retaining relevant dynamic features of complex simulation systems.


1540 193822Modeling Hydraulically Fractured Shale Wells Using the Fast Marching Method with Local Grid Refinements (LGRs) and Embedded Discrete Fracture Model (EDFM) X. Xue, C. Yang, T. Onishi, M.J. King, A. Datta-gupta, Texas A&M University

1600 193896

Artificial Neural Network Accelerated Flash Calculation for Compositional Simulations K. Wang, J. Luo, University of Calgary; L. Yan, Exploration and Development Research Institute; Y. Wei, Computer Modeling Group Ltd.; K. Wu, China University of Petroleum; J. Li, University of Calgary; F. Chen, Research Inst Petr Expl & Dev; X. Dong, China University of Petroleum, Beijing; Z. Chen, University of Calgary

1620 193863Reduced-Order Modeling of Coupled Flow-Geomechanics Problems Z.L. Jin, T. Garipov, O. Volkov, L.J. Durlofsky, Stanford University

1640 193911Model-Order Reduction of Coupled Flow and Geomechanics in Ultra-Low Permeability (ULP) Reservoirs H. Florez, E. Gildin, Texas A&M University

Alternate 193914A Comprehensive Adaptive Forecasting Framework for Optimum Field Development Planning A. Salehi, G. Hetz, F. Olalotiti-lawal, N. Sorek, H. Darabi, D. Castineira, Quantum Reservoir Impact LLC

Alternate 193841INSIM-FT-3D: A Three-Dimensional Data-Driven Model for History Matching and Waterflooding Optimization Z. Guo, Occidental Petroleum Corporation; A.C. Reynolds, University of Tulsa



16 Complex Processes IISession Chairpersons: Didier Yu Ding, IFP Energies nouvelles; Jan Dirk Jansen, Delft University of Technology

This session deals with simulation models for complex processes such as chemical EOR, compositional simulation, thermal process, radio frequency heating of heavy oil, as well as low-salinity-brine-CO2 flooding. One paper discusses mass transfer in fractured reservoirs.


1540 193930New and Improved Physical Property Models for Chemical Flooding Simulators H. Lashgari, G.A. Pope, M.T. Balhoff, M. Tagavifar, The University of Texas at Austin

1600 193826Continuous Relative Permeability Model for Compositional Reservoir Simulation, Using the True Critical Point and Accounting for Miscibility M. Petitfrere, R. De Loubens, Total; L. Patacchini, Stone Ridge Technology

1620 193836Simulation of Radio Frequency Heating of Heavy Oil Reservoir Using Multi-Physics Coupling of Reservoir Simulation with Electromagnetic Solver G. Li, X. Guan, H. Wang, S. Du, Chevron Corporation; D. Wu, J. Chen, University of Houston

1640 193815Numerical Modeling of Fluid-Rock Interactions during Low-salinity-brine-CO2 Flooding in Carbonate Reservoirs A.N. Awolayo, H.K. Sarma, University of Calgary; L.X. Nghiem, Computer Modelling Group Ltd.

Society of Petroleum Engineers

Annual Technical Conference and Exhibition30 September–2 October 2019BMO Centre at Stampede ParkCalgary, Alberta, Canada

Registration opens in mid-June. Visit

go.atce.org/PlanFor19ATCEfor more information.

Plan to Attend ATCE 2019300+ technical presentations

Special sessions on relevant industry topics

280+ exhibiting companies

20+ training courses

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Don Zhang Peking University

Luiz Schmall Petrobras

Alberto Cominelli Eni E&P

30Technical Program


Young Professionals Panel Session

The Crystal Ball in Reservoir Simulation: What is the Future for This Worldwide Technology?

Reservoir simulation experts, working in both academia and industry, will discuss future challenges and opportunities in reservoir simulation. Panelists will review challenges and opportunities, not only from a petroleum engineering aspect, but also as a strategic area to their companies and countries of reach. The discussion will also touch on the present and future skill sets required for young professionals to successfully develop their careers, allowing them to build upon current reservoir simulation capabilities and tackle important problems faced by our industry.

Jim Erdle Computer Modelling Group Ltd.

Panelists

Mohamad Jammoul The University of Texas at Austin

Moderator

Notes

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