Advertisement

A Pyramid Scheme: Integrating Petroleum Systems Analysis into Probabilistic Petroleum Resource Assessments

  • Kirk G. Osadetz
  • Zhuoheng Chen
Conference paper
Part of the Lecture Notes in Earth System Sciences book series (LNESS)

Abstract

Petroleum supply has been transformed by innovations including horizontal drilling and multiple-stage hydraulic fracturing applied to low permeability reservoirs. These new commercial resources present a challenge to petroleum valuation and resource assessment. Shale-hosted petroleum resources are often inferred “continuous” and amenable to “unit-cell” resource assessment methods. However, commercial reservoirs are generally not shale and the resources are demonstrably not “continuous”. Shale-hosted petroleum resources typically have large amounts of discovery history and well data such that unconventional accumulations can be identified in wells. By introducing more diverse exploration history data combined with petroleum system constraints on contingent accumulations in combination with geographically based probabilistic resource assessment methods we develop an alternative method for assessing shale-hosted petroleum resources. A benefit of the proposed method is that it indicates where overpressures, which are a source of reservoir energy, occur.

Keywords

Discovery Sequence Drill Stem Petroleum System Resource Volume Petroleum Accumulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Burrus, J., Osadetz, K. G., Wolf, S., Doligez, B., Visser, K., & Dearborn, D. (1996). A two-dimensional regional basin model of Williston Basin hydrocarbon systems. American Association of Petroleum Geologists Bulletin, 80, 265–291.Google Scholar
  2. 2.
    Chen, Z., & Osadetz, K. G. (2006). Undiscovered petroleum accumulation mapping using model-based stochastic simulation. Mathematical Geology, 38, 1–16.CrossRefGoogle Scholar
  3. 3.
    Hansen, W. B., & Long, G. I. W. (1991). Bakken production and potential in the U.S. and Canada: can the fairway be defined? In W. B. Hansen (Ed.), 1991 guidebook to geology and horizontal drilling of the Bakken Formation (pp. 69–88). Montana: Montana Geological Society.Google Scholar
  4. 4.
    Hansen, W. B., & Long, G. I. W. (1991). Criteria for horizontal and vertical prospect generation in the Bakken Formation, Montana and North Dakota. In W. B. Hansen (Ed.), 1991 guidebook to geology and horizontal drilling of the Bakken Formation (pp. 151–164), Montana: Montana Geological Society.Google Scholar
  5. 5.
    Klett, T. R. (2003). Graphic comparison of reserve-growth models for conventional oil and accumulation. USGS Bulletin, 2172-F.Google Scholar
  6. 6.
    Masters, J. A. (1984). Elmworth: case study of a deep basin gas field. American Association of Petroleum Geologists Memoir, 38, 316.Google Scholar
  7. 7.
    Purewal, S., Choquette, S., Gold, D., & Mallon, K. (2011). Guidelines for the application of the Petroleum Resource Management System. Society of Petroleum Engineers. http://www.spe.org/industry/docs/PRMS_Guidelines_Nov2011.pdf, p. 222.
  8. 8.
    Reinson, G. E., Lee, P. J., Warters, W., Osadetz, K. G., Bell, L. L., Price, P. R., et al. (1993). Part I: geological play analysis and resource assessment; in: Devonian gas resources of the Western Canada sedimentary basin. Geological Survey of Canada Bulletin, 452, 1–127.Google Scholar
  9. 9.
    Ross, D. J. K., & Bustin, R. M. (2008). Characterizing the shale gas resource potential of Devonian–Mississippian strata in the Western Canada sedimentary basin: application of an integrated formation evaluation. AAPG Bulletin, 92, 87–125.CrossRefGoogle Scholar
  10. 10.
    Schafer, J. L. (1999). Multiple imputation: a primer. Statistical methods in Medical Research, 8, 1–15.CrossRefGoogle Scholar
  11. 11.
    Shanley, K. W., Cluff, R. M., & Robinson, J. W. (2004). Factors controlling prolific gas production from low-permeability sandstone reservoirs: implications for resource assessment, prospect development, and risk analysis. AAPG Bulletin, 88, 1083–1121.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Geological Survey of Canada: CalgaryNW, CalgaryCanada

Personalised recommendations