The Molecular Organic Geochemistry Industrial Affiliates (MOGIA) Program. The Basin and Petroleum System Modeling Affiliates (BPSM) Program
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1 The Molecular Organic Geochemistry Industrial Affiliates (MOGIA) Program & its relationship to The Basin and Petroleum System Modeling Affiliates (BPSM) Program
2 MOGIA program functions Conduct fundamental & applied research on organic geochemistry MOGIA delivers Educational Professional / scientific training (M.Ss & Ph.Ds) in energyrelated 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
3 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 Other Research Participants Dr. Frank Picha Gerard Demaison Dr. Alla Rovenskaya Dr. Marcio Mello Dr. Andre Bender Dr. Silvana Barbanti Visiting Scholars and Researchers Dr. David Zinniker Dr. Zhonghong Chen (China) Waleed Bazeed (Ph.D.)(Egypt) Furat Saleh (Ph.D.)(Iraq)
4 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)
5 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 (H 2 S 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
6 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
7 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
8 Diamondoid-biomarker cracking method Low Maturity No Cracking High Maturity No Cracking Slightly Cracked Intensely Cracked Dahl et al., Nature, 1999
9 Deep gas and condensate bubble up through the oil reservoir. Diamondoids and light hydrocarbons from deep source dissolve in the oil. Oil Window Source Rock Gas Window Source Rock
10 Problem: We Can Only See the Less-Mature Source OIL MIXING: BIOMARKERS AND DIAMONDOIDS Mixed Oils from High and Low Maturity Sources Contain Abundant Diamondoids and Biomarkers Cracked Oil High Diamondoids Low Biomarkers Black Oil High Biomarkers Low Diamondoids
11 Recognition of Mixed Oils Low Maturity No Cracking Mixed oils from Normal Maturity and Highly Cracked Sources High Maturity No Cracking Slightly Cracked Intensely Cracked Dahl et al., Nature, 1999
12 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)
13 Evolution of Flowpaths and Accumulations When Only the Shallow Source Is Considered 52.8 Ma Accumulations in the One SR Scenario, Albian/marine
14 Evolution of Flowpaths and Accumulations When Only the Shallow Source Is Considered 0 Ma Accumulations in the One SR Scenario, Albian/marine
15 Evolution of Flowpaths and Accumulations When Deep Source Is Included 52.8 Ma Accumulations in the TWO SRs Scenario, Albian + Coquina
16 Evolution of Flowpaths and Accumulations When Deep Source Is Included 0 Ma Accumulations in the TWO SRs Scenario, Albian + Coquina
17 Accumulations -> One SR Scenario ONE SR TWO SRs 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.
18 CONCLUSION Recognizing the deep source dramatically changes the basin model
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