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Rock formation with students observing

Our Mission Statement

The Basin Processes and Subsurface Modeling Industrial Affiliates Program at Stanford University advances the understanding of subsurface rock and fluid systems and their interactions by integrating data and models from across geoscience disciplines to identify controlling processes and quantify uncertainties.

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Natural hydrogen

Natural hydrogen

BPSM participants are exploring the potential of natural hydrogen and its relationship to rock-fluid system modeling.  Important issues include the relative importance of various natural mechanisms for generation, migration, and trapping. 


Affiliates Meeting

Our 15th Annual Meeting will be held in Santa Cruz, California, starting Sunday, December 4 (icebreaker reception at 5:30PM), continuing on Monday, December 5 (oral session and group dinner), and ending on Tuesday, December 6 (all day petroleum system field trip). Lodging and oral session are at the Dream Inn. Please contact Allegra Hosford Scheirer, Les Magoon, or Tapan Mukerji for more information.


Ken Peters elected to NAE

BPSM is proud to announce that Co-Principal Ken Peters has been elected a Member of the National Academy of Engineering (NAE) in recognition of his distinguished contributions to engineering for the development and application of geochemistry for basin analysis, hydrocarbon production, and biodegradation metrics. Members are elected to NAE membership by their peers (current NAE members). Ken will receive his award at a black-tie reception in Washington DC in early October, 2022.

Santa Maria Basin Field work photo

Program Motivation

Virtually all major oil companies have independently recognized the need for 4-D petroleum system models (also called basin models) because they:


  • Organize data, allowing deficiencies or inconsistencies to be identified
  • Archive data (data loss due to personnel attrition and reorganization is a major cost factor)
  • Facilitate visualization of geologic processes and communication with stakeholders and
  • Add value by converting static data into dynamic processed data and interpretations.

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