Statistical issues in the assessment of undiscovered oil and gas resources
Prior to his untimely death, my friend Dave Wood gave me wise counsel about how best to organize a paper describing uses of statistics in oil and gas exploration. A preliminary reconnaissance of the literature alerted me to the enormous range of topics that might be covered. Geology, geophysics with...
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| Format: | Working Paper |
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MIT Center for Energy and Environmental Policy Research
2009
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| Online Access: | http://hdl.handle.net/1721.1/50204 |
| _version_ | 1826196398403485696 |
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| author | Kaufman, Gordon M. |
| author2 | Massachusetts Institute of Technology. Center for Energy and Environmental Policy Research. |
| author_facet | Massachusetts Institute of Technology. Center for Energy and Environmental Policy Research. Kaufman, Gordon M. |
| author_sort | Kaufman, Gordon M. |
| collection | MIT |
| description | Prior to his untimely death, my friend Dave Wood gave me wise counsel about how best to organize a paper describing uses of statistics in oil and gas exploration. A preliminary reconnaissance of the literature alerted me to the enormous range of topics that might be covered. Geology, geophysics with particular attention to seismology, geochemistry, petroleum engineering and petroleum economics--each of these disciplines plays an important role in petroleum exploration and each weaves statistical thinking into its fabric in a distinctive way. An exhaustive review would be book length. Dave and I agreed that a timely review paper of reasonable length would: (1) Illustrate the range of statistical thinking of oil and gas exploratists. (2) Concentrate on topics with statistical novelty, show how statistical thinking can lead to better decision making and let the reader now about important controversies that might be resolved by better use of statistical methods. (3) Focus on topics that are directly relevant to exploration decision making and resource estimation. In response to Dave's sensible suggestions, the Department of Interior's 1989 assessment of U.S. undiscovered oil and gas will be a tour map for a short trip through a large territory of statistical methods and applications. Were he here to review this review, I know that it would be better than it is. |
| first_indexed | 2024-09-23T10:26:13Z |
| format | Working Paper |
| id | mit-1721.1/50204 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T10:26:13Z |
| publishDate | 2009 |
| publisher | MIT Center for Energy and Environmental Policy Research |
| record_format | dspace |
| spelling | mit-1721.1/502042019-04-11T05:55:41Z Statistical issues in the assessment of undiscovered oil and gas resources Kaufman, Gordon M. Massachusetts Institute of Technology. Center for Energy and Environmental Policy Research. Prior to his untimely death, my friend Dave Wood gave me wise counsel about how best to organize a paper describing uses of statistics in oil and gas exploration. A preliminary reconnaissance of the literature alerted me to the enormous range of topics that might be covered. Geology, geophysics with particular attention to seismology, geochemistry, petroleum engineering and petroleum economics--each of these disciplines plays an important role in petroleum exploration and each weaves statistical thinking into its fabric in a distinctive way. An exhaustive review would be book length. Dave and I agreed that a timely review paper of reasonable length would: (1) Illustrate the range of statistical thinking of oil and gas exploratists. (2) Concentrate on topics with statistical novelty, show how statistical thinking can lead to better decision making and let the reader now about important controversies that might be resolved by better use of statistical methods. (3) Focus on topics that are directly relevant to exploration decision making and resource estimation. In response to Dave's sensible suggestions, the Department of Interior's 1989 assessment of U.S. undiscovered oil and gas will be a tour map for a short trip through a large territory of statistical methods and applications. Were he here to review this review, I know that it would be better than it is. Supported in part by the MIT Center for Energy and Environmental Policy Research. 2009-12-15T23:59:55Z 2009-12-15T23:59:55Z 1992 Working Paper 92010 http://hdl.handle.net/1721.1/50204 35719963 MIT-CEEPR (Series) ; 92-010WP. 20, [8] p application/pdf MIT Center for Energy and Environmental Policy Research |
| spellingShingle | Kaufman, Gordon M. Statistical issues in the assessment of undiscovered oil and gas resources |
| title | Statistical issues in the assessment of undiscovered oil and gas resources |
| title_full | Statistical issues in the assessment of undiscovered oil and gas resources |
| title_fullStr | Statistical issues in the assessment of undiscovered oil and gas resources |
| title_full_unstemmed | Statistical issues in the assessment of undiscovered oil and gas resources |
| title_short | Statistical issues in the assessment of undiscovered oil and gas resources |
| title_sort | statistical issues in the assessment of undiscovered oil and gas resources |
| url | http://hdl.handle.net/1721.1/50204 |
| work_keys_str_mv | AT kaufmangordonm statisticalissuesintheassessmentofundiscoveredoilandgasresources |