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US 7,113,869 B2Granted
Method for prospect identification in asset evaluation
AssigneeSchlumberger Technology Corporation
InventorFangjian Xue
Life of this patent
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Abstract
3D seismic classification is a breakthrough technology to determine the three-dimensional distribution of pore fluid, lithology, and faults/fractures from multiple seismic attribute volumes. This method provides an innovative, timesaving solution for identification and definition of drilling targets, especially in areas with multiple pay zones and complex geology.
Claims10
A method of identifying drilling prospects, the method comprising the steps of:
- selecting a seismic volume of interest;
- generating different seismic attribute cubes for the seismic volume of interest;
- defining fluid-lithology classes based on correlation between seismic attributes, which correspond to the different seismic attribute cubes, and well production or log data;
- cross-plotting samples of the fluid-lithology classes having different seismic attributes to determine a set of seismic attributes that best differentiate hydrocarbon-bearing regions from non-hydrocarbon-bearing regions;
- defining a new class that represents a low-risk hydrocarbon class based on hydrocarbon-bearing classes in a cross plot;
- generating a class cube providing a spatial distribution of the fluid-lithology classes that include the new class;
- and
- selecting a drilling target based on the spatial distribution of the new class that represents the low-risk hydrocarbon class.
5 more elements
A method of identifying drilling prospects, the method comprising the steps of:
- selecting a seismic volume for evaluation;
- generating seismic attribute cubes for the seismic volume;
- defining fluid-lithology classes based on correlating the seismic attribute cubes with well logs or production data;
- generating a cross-plot of samples of the fluid-lithology classes;
- defining at least one extra class as a low-risk hydrocarbon class using cross-plot discriminant analysis of a cluster distribution in the cross-plot;
- generating a class cube providing a spatial distribution of the fluid-lithology classes that include the at least one extra class;
- defining a location and extent of a prospective target using 3D visualization of the class cube;
- and
- selecting a drilling target.
6 more elements
Dependencies are inferred from the claim text.