Reservoir property grids improve with geostatistics

Journal Article · Wed Sep 01 00:00:00 EDT 1993 · World Oil; (United States)

OSTI ID:5985871

Vogt, J ^[1]

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1. Texaco, Houston, TX (United States). E and P Technology Dept.

Visualization software, reservoir simulators and many other E and P software applications need reservoir property grids as input. Using geostatistics, as compared to other gridding methods, to produce these grids leads to the best output from the software programs. For the purpose stated herein, geostatistics is simply two types of gridding methods. Mathematically, these methods are based on minimizing or duplicating certain statistical properties of the input data. One geostatical method, called kriging, is used when the highest possible point-by-point accuracy is desired. The other method, called conditional simulation, is used when one wants statistics and texture of the resulting grid to be the same as for the input data. In the following discussion, each method is explained, compared to other gridding methods, and illustrated through example applications. Proper use of geostatistical data in flow simulations, use of geostatistical data for history matching, and situations where geostatistics has no significant advantage over other methods, also will be covered.

• OSTI ID: 5985871
• Journal Information: World Oil; (United States), Journal Name: World Oil; (United States) Vol. 214:9; ISSN 0043-8790; ISSN WOOIAS
• Country of Publication: United States
• Language: English

Related Subjects

02 PETROLEUM
020200* -- Petroleum-- Reserves
Geology
& Exploration
03 NATURAL GAS
030200 -- Natural Gas-- Reserves
Geology
& Exploration
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ACCURACY
COMPUTER GRAPHICS
DATA ANALYSIS
EXPLORATION
FLOW MODELS
GEOLOGIC DEPOSITS
GEOLOGIC MODELS
GEOLOGY
MATHEMATICAL MODELS
MATHEMATICS
MINERAL RESOURCES
NATURAL GAS DEPOSITS
PETROLEUM DEPOSITS
RESERVOIR ROCK
RESOURCES
STATISTICAL MODELS
STATISTICS