Intelligent Computing System for Reservoir Analysis and Risk Assessment of Red River Formation, Class Revisit | |
Sippel, Mark A. | |
National Petroleum Technology Program (U.S.) | |
关键词: Data Analysis; 02 Petroleum; 99 General And Miscellaneous//Mathematics, Computing, And Information Science; Reservoir Engineering; Computer Calculations; | |
DOI : 10.2172/801440 RP-ID : DOE/BC/15123-2 RP-ID : FC26-00BC15123 RP-ID : 801440 |
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美国|英语 | |
来源: UNT Digital Library | |
【 摘 要 】
Integrated software was written that comprised the tool kit for the Intelligent Computing System (ICS). The software tools in ICS are for evaluating reservoir and hydrocarbon potential from various seismic, geologic and engineering data sets. The ICS tools provided a means for logical and consistent reservoir characterization. The tools can be broadly characterized as (1) clustering tools, (2) neural solvers, (3) multiple-linear regression, (4) entrapment-potential calculator and (5) combining tools. A flexible approach can be used with the ICS tools. They can be used separately or in a series to make predictions about a desired reservoir objective. The tools in ICS are primarily designed to correlate relationships between seismic information and data obtained from wells; however, it is possible to work with well data alone.
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801440.pdf | 21690KB | download |