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|a (TOE)ost94027
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|a E 1.99:DOE/BC/14894--7
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|a E 1.99:DOE/BC/14894--7
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|a DOE/BC/14894--7
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| 088 |
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|a DE95014902
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| 245 |
0 |
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|a Application of artificial intelligence to reservoir characterization
|h [electronic resource] :
|b An interdisciplinary approach. [Quarterly report], January 1--March 31, 1995.
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| 260 |
|
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|a Washington, D.C. :
|b United States. Dept. of Energy ;
|a Oak Ridge, Tenn. :
|b distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy,
|c 1995.
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| 300 |
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|a 21 p.
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| 336 |
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|a text
|b txt
|2 rdacontent.
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| 337 |
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|a computer
|b c
|2 rdamedia.
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| 338 |
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|a online resource
|b cr
|2 rdacarrier.
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| 500 |
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|a Published through the Information Bridge: DOE Scientific and Technical Information.
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| 500 |
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|a 07/01/1995.
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| 500 |
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|a "DOE/BC/14894--7"
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| 500 |
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|a "DE95014902"
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| 500 |
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|a Thompson, L.G.; Kerr, D.R.; Kelkar, B.G.; Shenoi, S.
|
| 520 |
3 |
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|a This basis search is to apply novel techniques from Artificial Intelligence (AI) and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs. The overall project plan to design the system to create integrated reservoir description begins by initially developing an AI-based methodology for producing large-scale reservoir descriptions generated interactively from geology and well test data. Parallel to this task is a second task that develops an AI-based methodology that uses facies-biased information to generate small-scale descriptions of reservoir properties such as permeability and porosity. The third task involves consolidation and integration of the large-scale and small-scale methodologies to produce reservoir descriptions honoring all the available data. The final task will be technology transfer. With this plan, we have carefully allocated and sequenced the activities involved in each of the tasks to promote concurrent progress towards the research objectives. The results of the integration are not merely limited to obtaining better characterizations of individual reservoirs. They have the potential to significantly impact and advance the discipline of reservoir characterization itself.
|
| 536 |
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|b AC22-93BC14894.
|
| 650 |
|
7 |
|a Oil Fields.
|2 local.
|
| 650 |
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7 |
|a Geology.
|2 local.
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| 650 |
|
7 |
|a Reservoir Engineering.
|2 local.
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| 650 |
|
7 |
|a Expert Systems.
|2 local.
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| 650 |
|
7 |
|a Production.
|2 local.
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| 650 |
|
7 |
|a Artificial Intelligence.
|2 local.
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| 650 |
|
7 |
|a Well Logging.
|2 local.
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| 650 |
|
7 |
|a Site Characterization.
|2 local.
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| 650 |
|
7 |
|a Progress Report.
|2 local.
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| 650 |
|
7 |
|a Permeability.
|2 local.
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| 650 |
|
7 |
|a Porosity.
|2 local.
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| 650 |
|
7 |
|a Petroleum.
|2 edbsc.
|
| 710 |
2 |
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|a University of Tulsa.
|4 res.
|
| 710 |
1 |
|
|a United States.
|b Department of Energy.
|4 spn.
|
| 710 |
2 |
|
|a National Energy Technology Laboratory (U.S.).
|4 res.
|
| 710 |
2 |
|
|a United States.
|b Department of Energy.
|b Office of Scientific and Technical Information.
|4 dst.
|
| 856 |
4 |
0 |
|u http://www.osti.gov/servlets/purl/94027-xY5d9C/webviewable/
|z Online Access
|
| 907 |
|
|
|a .b56612849
|b 03-06-23
|c 12-20-09
|
| 998 |
|
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|a web
|b 12-20-09
|c f
|d m
|e p
|f eng
|g dcu
|h 0
|i 1
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| 956 |
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|s 79634dfb-10a2-5910-8048-77602cb2620c
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| 952 |
f |
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|p Can circulate
|a University of Colorado Boulder
|b Online
|c Online
|d Online
|e E 1.99:DOE/BC/14894--7
|h Superintendent of Documents classification
|i web
|n 1
|
