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Using Paleoclimate Models to Predict Source Rock Occurrence: Results from the GANDOLPH Project*

By

Christopher Scotese1, John Zumberge2, Harold Illich2, Thomas Moore3, and Scott Ramos4

 

Search and Discovery Article #40287 (2008)

Posted May 30, 2008

 

*Adapted from oral presentation at AAPG Annual Convention, San Antonio, Texas, April 20-23, 2008.

 

1 Earth & Environmental Sciences, Univeristy of Texas at Arlington, Arlington, TX ([email protected])

2 GeoMark Research Ltd., Houston, TX

3 PaleoTerra Inc, Bollingbrook, IL

4 Infometrix inc, Bothell, WA

 

Abstract

Understanding the temporal and spatial distribution of source rocks, especially in unexplored and under-explored frontier regions is one of the greatest challenges in hydrocarbon system analysis. In order to address this problem, GeoMark Research Ltd, together with the PALEOMAP Project and PaleoTerra Inc., for the past 3 years has been building a GIS atlas of plate tectonic, paleogeographic, and paleoclimatic maps that illustrate the paleoenvironmental setting of known source rocks and oils (GANDOLPH Project). Eight of 12 planned intervals have been completed:

  • Mid-Miocene
  • Cenomanian/Turonian (C/T)
  • Early Cretaceous
  • Late Jurassic
  • Late Triassic
  • Early Permian
  • Late Devonian
  • Latest Ordovician-Early Silurian

One of the principal research goals of the GANDOLPH Project has been to test the paleoclimatic predictions made by the paleoclimate simulations with information about source rock paleoenviornmental conditions obtained from biomarkers in the oils. A second major research goal of the project has the construction of a tool (Source Rocker) that uses multivariate statistical techniques to:

  • Identify the kinds of paleoenvironments in which source rocks are likely to have formed, and
  • Estimate the reliability of these source rock predictions.

In this presentation we shall briefly review the results from all eight time intervals, and then discuss, in detail, the results from the C/T (Cenomanian/Turonian) and Late Devonian simulations. We shall describe how we built the SourceRocker tool and shall review the predictions it has made regarding the occurrence of probable source rocks in unexplored, and under-explored frontier regions.

 

uAbstract

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uGRANDOLPH

uAnalogs & controls

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uGRANDOLPH

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uAbstract

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uGRANDOLPH

uAnalogs & controls

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uAbstract

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uGRANDOLPH

uAnalogs & controls

uWorkflow

uConclusions

 

What is GRANDOLPH?
Source Rock Prediction Methodology using an Earth Systems Approach

Project Objectives

  • Provide plate reconstructions for 18 geologic time slices
    • (Year 1: C/T, EPerm, Lt Jur, Lt Dev)
    • (Year 2 : ECret(2), Trias, ESil, Oligo-Mio)
    • (Year 3: MEoc, EJur, ECarb, Late Neoprot)
    • (Year 4: Olig, K/T, P/Tr, SiluroDev, EOrd)
  • Produce paleoclimatic and paleo-oceanographic simulations for each time slice (FOAM)
  • “Evolve” predictive criteria relating geography, climate, and ocean state to hydrocarbon source bed deposition (SourceRocker)

 

What Would You Like to know?

 

Source Rock Analogs for Exploration Prospects

  • Probability of Source Rock Occurrence
  • Source Rock Type
  • Source Rock Richness
  • Source Rock Thickness

Source Rock Controls

  • Productivity
    • Upwelling (Marine)
    • Terrestrial Organic Input
  • Preservation
    • Anoxic & Suboxic
      • poor vertical mixing
      • restricted conditions
  • Dilution

 

GRANDOLPH Workflow

  • Build Paleogeography (PaleoDEM) CS
  • Compile Global Source Rock data HI
  • Run Climate Model (FOAM) TM
  • Classify OILS & Source Rocks HI & JZ
  • Find Associations between OILS and Climate Results and Paleogeographic parameters JZ
  • Use Environmental “FingerPrint” to Predict Source Rock Analogs CS

 

Conclusions

  • A global, Phanerozoic database of source rocks and paleo-source rock environments has been assembled
  • Source Rocks form in environments that have a specific “Earth Systems Fingerprint”
  • This Fingerprint can be used to identify other possible areas with source rock potential
  • The “Source Finder” program uses multivariate techniques to identify source rock analogs
  • A prototype of “SourceFinder” is up and running

 

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