the molecular organic geochemistry industrial affiliates ...geochemistry mogia delivers educational...
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The Molecular Organic Geochemistry Industrial Affiliates
(MOGIA) Program
& its relationship to
The Basin and Petroleum System Modeling Affiliates
(BPSM) Program
MOGIA program functions ● Conduct fundamental & applied research on organic
geochemistry
MOGIA delivers Educational – ● Professional / scientific training (M.Ss & Ph.Ds) in energy-
related geosciences Scientific – ● Novel technology to determine petroleum provenance and
basin development ● Detailed petroleum systems studies that can reduce risk and
expand potential for exploration and development
MOGIA link with BPSM ● Sound basin models require in-depth understanding of petroleum systems: hydrocarbon sources, migration, maturation, biodegradation risk
Participants in Research of the Molecular Organic Geochemistry Laboratory
Stanford faculty Prof. Mike Moldowan, Director Prof. Stephen Graham Dr. Kenneth Peters (Consulting Prof.) Prof. Christopher Francis
Laboratory staff and students Dr. Jeremy Dahl Fred Fago Ye Wang (Ph.D.) Meng He (Ph.D.) Keisha Durant (M.S.) Paul Lipton Dr. Peter Denisevich Shaun Moldowan
Visiting Scholars and Researchers Dr. David Zinniker
Dr. Zhonghong Chen (China) Waleed Bazeed (Ph.D.)(Egypt)
Furat Saleh (Ph.D.)(Iraq)
Other Research Participants Dr. Frank Picha
Gerard Demaison Dr. Alla Rovenskaya
Dr. Marcio Mello Dr. Andre Bender
Dr. Silvana Barbanti
Participants in Research of the Molecular Organic Geochemistry Laboratory
Affiliate members (2008 and/or 2009) Aramco (Saudi Arabia) Ecopetrol (Colombia) ENI (Italy) HRT petroleum (Brazil) JOGMEC (Japan) Petrobrás (Brazil) PetroChina (China) Shell (International) StatoilHydro (Norway)
Participating laboratories and organizations
Petrobrás (Brazil) ChevronTexaco (USA)
l’Université Louis Pasteur (France) GB Scientific, Inc. (USA)
Shell (International) United States Geological Survey
Aramco (Saudi Arabia) RIPED (PetroChina)
HRTpetroleum (Brazil)
Fundamental Research Topics of MOGIA of Possible Interest to BPSM
Ultra high maturity assessment/oil cracking to gas Determine oil cracking to gas Identify oil and gas/condensate mixes Determine sources of the mix components Model kinetics using individual compounds
Oil degradation Thermochemical sulfate reduction (H2S prediction) Reservoir continuity of biodegraded/heavy oil Anaerobic versus aerobic biodegradation Factors influencing thermal degradation Tracing biodegradation levels in detail
Age-related biomarkers for oil-source age determination
Applications to specific basins or regions
Alaska North Slope – reported to MOGIA Barents Sea, Timan-Pechora – in progress Ghana, West Africa – postponed/planned Talara Basin, Peru - pub. AAPG Bull Nigeria – in progress Saudi Arabia - reported to MOGIA West Siberia - planned (focus northern area) Iraq - beginning and in progress Egypt - in progress China - numerous basins reported
Current research protocols in basin studies
1. Perform high quality molecular/biomarker correlation
2. Assess mixes using combined biomarker and compound specific isotope analysis (CSIA)
3. Focus on black oil contributed by sources in the oil window mixed with post oil-window condensate/gas
Diamondoid-biomarker cracking method
Low Maturity No Cracking
High Maturity No Cracking
Slightly Cracked Intensely Cracked
Diamondoids
Biomarkers
Dahl et al., Nature, 1999
Oil Window Source Rock
Gas Window Source Rock
Deep gas and condensate bubble up through the oil reservoir.
Diamondoids and light hydrocarbons from deep
source dissolve in the oil.
Problem: We Can Only See the Less-Mature Source
Mixed Oils from High and Low Maturity Sources Contain Abundant Diamondoids and Biomarkers
High Diamondoids Low Biomarkers
High Biomarkers Low Diamondoids
OIL MIXING: BIOMARKERS AND DIAMONDOIDS
Cracked Oil “Black Oil”
Recognition of Mixed Oils
Low Maturity No Cracking
High Maturity No Cracking
Slightly Cracked Intensely Cracked
Mixed oils from Normal Maturity and
Highly Cracked Sources
Diamondoids
Biomarkers
Dahl et al., Nature, 1999
Deep Source Identification Leads to New Oil and Gas Plays Through More
Accurate Basin Models
Contribution from
Márcio R. Mello (HRT) André A. Bender (HRT)
52.8 Ma
Accumulations in the One SR Scenario, Albian/marine
Evolution of Flowpaths and Accumulations When Only the Shallow Source Is Considered
0 Ma
Accumulations in the One SR Scenario , Albian/marine
Evolution of Flowpaths and Accumulations When Only the Shallow Source Is Considered
52.8 Ma
Evolution of Flowpaths and Accumulations When Deep Source Is Included
Accumulations in the TWO SRs Scenario, Albian + Coquina
0 Ma
Accumulations in the TWO SRs Scenario , Albian + Coquina
Evolution of Flowpaths and Accumulations When Deep Source Is Included
Accumulations -> One SR Scenario
The same accumulation has smaller GOR and volume in the One SR scenario. The right pizza diagram shows clearly the additional amount of gas that originated from the deep sources.
ONE SR TWO SRs