powerpoint presentation · title: powerpoint presentation author: christine beyzaei created date:...

1
To describe the behavior of the coupled mutiphysical process, the following scheme is implemented: Abstract A Coupled Thermal-Hydraulic-Mechanical-Chemical Model for Methane Hydrate Bearing Sediments Xiang Sun, Hao Luo, Kenichi Soga Scheme for the THMC model Ongoing research University of California, Berkeley Enhancement of the coupling model Additional field simulation Optimizing the production method to improve the efficiency of production and guarantee the safety of production Modeling the coupling process Verifying the model using laboratory data and field data Implementing the simulation in the field work using the verified model and calibrated parameters Optimizing the production method to improve the efficiency of production and guarantee the safety of production Methane hydrate, a form of clean energy also called combustible ice, has drawn a global interest as an alternative energy resource of traditional fossil energy. Methane gas extraction by a deep well installed in natural hydrate bearing sediments (MHBS) found in deep subsea and permafrost regions is a coupled thermo-hydro-mechanical-chemical (THMC) processes. It is necessary to propose a coupled THMC model to estimate the amount of gas production, improve the efficiency of production and guarantee the safety of production. Model verification 1) Simulation results vs. laboratory experimental data The model is well verified Trend in temperature change is well predicted The predicted amount of gas is lower than the real one due to the presence of free gas in the experiment Stress-strain relation is matched better using our model than others by introducing two new parameters Research objectives Methane Water Hydrate Sediment Malik South China Sea Nankai Alaska PARAMETERS: Variables at Last Time Step (Material Parameters; Hydrate Saturation; Temperature) INPUT VARIABLES: Strain; Deformation Gradient STATES VARABLES: Variables from Last Time Step (Stress State; Hardening Parameters; Strain; Hydrate Saturation; Temperature) CALCULATE TRIAL STRESS CALCULATE PLASTIC MULTIPLICATOR JUDGE YIELDING PLASTIC CALCULATION STORE STATE VARIABLES OUTPUT STRESS EXTERNAL MATERIAL INTERFACE No Conservation of Momentum Dual Flow Equation Hydrate Dissociation Conservation of Energy PDE MODULE Fig 4 Comparison of simulation with different codes in depressurization case Fig.1 Hydrate distribution and gas production trial test 2) Simulation results calculated using our model vs. most widely used codes in the world. The predicted gas saturations are different using different codes, but hydrate saturation and temperature are identical. Fig 5 Comparison of simulation with different codes in heat injection case Fig 2 Stress-strain relation and dilatancy curve Fig 3 Temperature and the amount of produced gas Simulation on field work Dalian University of Technology Fig 6 Gas production at time of 5 days Water Pressure(Pa) Hydrate Saturation Temperature (K) Mean Effective Stress(Pa) Deviator Stress(Pa) Radial Shear Stress (Pa) Volumetric Strain Stress Ratio Radial Shear Strain Heat convection and conduction lead to the increase in temperature after hydrate dissociation in heterogeneous hydrate layers All the coupled physical properties are changing during gas production Stress relaxation and concentration due to hydrate dissociation exists around the wellbore. It potentially results in a geohazard. Japan Oil, Gas and Metals National Corporation University of Cambridge Time = 3 days, pw Time = 7 days, pw Time = 3 days, s_h Time = 7 days, s_h Fig 7 Simulation on heterogeneity of the hydrate layer in Nankai, Japan Hydrate dissociates with depressurization from the wellbore to far field. The pressure drop in high permeability layer is faster than low permeability layer. The hydrate dissociation in high permeability layer is faster than low permeability layer The porosity of the sediments has an impact on the permeability.

Upload: others

Post on 08-Oct-2020

2 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: PowerPoint Presentation · Title: PowerPoint Presentation Author: Christine Beyzaei Created Date: 1/30/2018 1:18:56 PM

• To describe the behavior of the coupled mutiphysical process, the following

scheme is implemented:

Abstract

A Coupled Thermal-Hydraulic-Mechanical-Chemical

Model for Methane Hydrate Bearing Sediments Xiang Sun, Hao Luo, Kenichi Soga

Scheme for the THMC model

Ongoing research

University of California, Berkeley

• Enhancement of the coupling model

• Additional field simulation

• Optimizing the production method to improve the efficiency of production

and guarantee the safety of production

• Modeling the coupling process

• Verifying the model using laboratory data and field data

• Implementing the simulation in the field work using the verified model and

calibrated parameters

• Optimizing the production method to improve the efficiency of production and

guarantee the safety of production

• Methane hydrate, a form of clean energy also called combustible ice, has

drawn a global interest as an alternative energy resource of traditional fossil

energy.

• Methane gas extraction by a deep well installed in natural hydrate bearing

sediments (MHBS) found in deep subsea and permafrost regions is a coupled

thermo-hydro-mechanical-chemical (THMC) processes.

• It is necessary to propose a coupled THMC model to estimate the amount of

gas production, improve the efficiency of production and guarantee the safety

of production.

Model verification1) Simulation results vs. laboratory experimental data

• The model is well verified

• Trend in temperature change is well

predicted

• The predicted amount of gas is

lower than the real one due to the

presence of free gas in the

experiment

• Stress-strain relation is matched

better using our model than others

by introducing two new parameters

Research objectives

Methane

WaterHydrateSediment

Malik

South China Sea

Nankai

Alaska

PARAMETERS:Variables at Last Time Step

(Material Parameters;Hydrate Saturation;

Temperature)

INPUT VARIABLES:Strain;

Deformation Gradient

STATES VARABLES:Variables from Last Time Step

(Stress State; Hardening Parameters;

Strain; Hydrate Saturation;Temperature)

CALCULATETRIAL STRESS

CALCULATEPLASTIC MULTIPLICATOR

JUDGE YIELDING

PLASTIC CALCULATION

STORE STATE VARIABLES OUTPUT STRESS

EXTERNAL MATERIAL INTERFACE

No

Conservation of Momentum

Dual Flow Equation Hydrate Dissociation

Conservation of Energy

PDE MODULE

Fig 4 Comparison of simulation with different codes in depressurization case

Fig.1 Hydrate distribution and gas production trial test

2) Simulation results calculated using our model vs. most widely used codes in

the world. The predicted gas saturations are different using different codes, but

hydrate saturation and temperature are identical.

Fig 5 Comparison of simulation with different codes in heat injection case

Fig 2 Stress-strain relation and dilatancy curve

Fig 3 Temperature and the amount of produced gas

Simulation on field work

Dalian University of Technology

Fig 6 Gas production at time of 5 days

Water Pressure(Pa) Hydrate Saturation Temperature (K)

Mean Effective Stress(Pa) Deviator Stress(Pa) Radial Shear Stress (Pa)

Volumetric Strain Stress Ratio Radial Shear Strain

• Heat convection and conduction lead to the increase in temperature after

hydrate dissociation in heterogeneous hydrate layers

• All the coupled physical properties are changing during gas production

• Stress relaxation and concentration due to hydrate dissociation exists

around the wellbore. It potentially results in a geohazard.

Japan Oil, Gas and Metals National Corporation University of Cambridge

Time = 3 days, pw Time = 7 days, pw

Time = 3 days, s_h Time = 7 days, s_h

Fig 7 Simulation on heterogeneity of the hydrate layer in Nankai, Japan

• Hydrate dissociates with

depressurization from the

wellbore to far field.

• The pressure drop in high

permeability layer is faster

than low permeability layer.

• The hydrate dissociation in

high permeability layer is

faster than low permeability

layer

• The porosity of the sediments

has an impact on the

permeability.