Method for seismic hydrocarbon system analysis

• US 9,194,968 B2
• Filed: 04/22/2011
• Issued: 11/24/2015
• Est. Priority Date: 05/28/2010
• Status: Active Grant

• Current Assignee: Exxonmobil Upstream Research Company (Exxon Mobil Corporation)
• Original Assignee: Exxonmobil Upstream Research Company (Exxon Mobil Corporation)
• Inventors: Imhof, Matthias G., Dimitrov, Pavel, Wrobel, Kelly, Kumaran, Krishnan, Terrell, Martin J., Hussenoeder, Stefan
• Primary Examiner(s): Murphy, Daniel L
• Application Number:
  US13/695,226
• Publication Number:
  US 20130064040A1
• Time in Patent Office: 1,677 Days
• Field of Search: 166/250.01, 166/369, 267/43, 267/53, 267/73, 702/11, 702/14, 702/179
• US Class Current: 1/1
• CPC Class Codes: G01V 1/30 Analysis G01V1/50 takes precedence
• CPC Class Codes: G01V 1/302 in 3D data cubes
• CPC Class Codes: G01V 1/306 for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
• CPC Class Codes: G01V 1/307 for determining seismic attributes, e.g. amplitude, instantaneous phase or frequency, reflection strength or polarity
• CPC Class Codes: G01V 1/345 Visualisation of seismic data or attributes, e.g. in 3D cubes
• CPC Class Codes: G01V 2210/63 Seismic attributes, e.g. amplitude, polarity, instant phase
• CPC Class Codes: G01V 2210/64 Geostructures, e.g. in 3D data cubes
• CPC Class Codes: G01V 2210/74 Visualisation of seismic data

Abstract

Method for analyzing seismic data representing a subsurface region for presence of a hydrocarbon system or a particular play. Seismic attributes are computed, the attributes being selected to relate to the classical elements of a hydrocarbon system, namely reservoir, seal, trap, source, maturation, and migration. Preferably, the attributes are computed along structural fabrics (1) of the subsurface region, and are smoothed over at least tens or hundreds of data voxels. The resulting geologic attributes (2) are used to analyze the data for elements of the hydrocarbon system and/or recognition of specific plays, and for ranking and annotating partitioned regions (3) of the data volume based on size, quality, and confidence in the prospectivity prediction (5). A catalog (8) of hydrocarbon trap configurations may be created and used to identify potential presence of hydrocarbon traps and/or aid in scoring (4) and ranking partitioned regions as hydrocarbon prospects.

Claims

1. A computer-implemented method for analyzing a volume composed of voxels of seismic data representing a subsurface region for presence of a hydrocarbon system or a particular play, comprising:

partitioning the seismic data volume to form a plurality of segments;

computing a prospectivity score for each voxel, wherein at least two elements are selected, and for each element at least one seismic attribute is selected, and then an element score is calculated for each selected element based on the selected at least one seismic attribute, and the prospectivity score is formed by combining the element scores;

ranking the plurality of segments for presence of a hydrocarbon system or the particular play based at least partly on the prospectivity scores for the voxels of seismic data in each segment; and

wherein the elements are selected from a group consisting of reservoir, seal, trap, source, charge, overburden, maturation, migration, accumulation, and timing, or juxtaposition or coexistence of any two or more of them.

2. The method of claim 1, wherein the partitioning comprises combining contiguous individual voxels based on a saliency attribute or a prospectivity score computed for each voxel.

3. The method of claim 2, wherein the saliency attribute is computed using either windowed principled component analysis or diffusion mapping applied to at least one seismic attribute.

4. The method of claim 1, wherein the elements are selected from a group consisting of reservoir, seal, trap, and charge.

5. The method of claim 1, wherein smoothing is applied to the at least two attributes, thereby generating geologic attributes, and the smoothing is applied over distances of at least ten seismic data voxels.

6. The method of claim 5, further comprising determining from the seismic data a layer structure, called a fabric, representative of the subsurface region, and wherein the smoothing to generate the geologic attributes comprises integrating or averaging the selected attributes along the fabric to prevent mixing from other strata.

7. The method of claim 6, wherein the smoothing along the fabric is performed by nonlinear, anisotropic diffusion filtering or by line integral convolution.

8. The method of claim 6, wherein the fabric is determined from seismic skeletonization.

9. The method of claim 5, wherein one of the at least two attributes relates to existence of a hydrocarbon trap, and the existence of a hydrocarbon trap is predicted by spatially correlating the geologic attributes and comparing to a catalog of hydrocarbon trap configurations.

10. The method of claim 1, wherein the at least two attributes comprise at least one of a group consisting of Hessian attributes;

isocontour attributes;

convergence; and

confluence.

11. The method of claim 1, wherein the at least two attributes comprise at least one of a group consisting of enclosure and spill point;

regularity;

phase residues;

texture;

windowed principal component analysis anomalies;

play attributes;

terminations;

termination densities;

diffusion maps; and

combinations thereof.

12. The method of claim 1, wherein the segments do not overlap each other.

13. The method of claim 1, wherein the segments are ranked based on a single score for each segment generated by combining the prospectivity scores for each voxel in the segment.

14. The method of claim 1, wherein each voxel of the seismic data volume is a separate segment.

15. The method of claim 1, wherein computed attribute values for different attributes are normalized to a common scale.

16. The method of claim 1, wherein determining the prospectivity score uses one of a group consisting of thresholds, fuzzy logic and Bayesian logic.

17. The method of claim 1, further comprising estimating a confidence value for at least one prospectivity score.

18. A method for producing hydrocarbons, comprising:

conducting a seismic survey of a subsurface region;

obtaining a prospectivity analysis of seismic data from the survey, wherein the analysis was conducted by a method described by claim 1, which is incorporated herein by reference; and

drilling a well into the subsurface region based at least in part on the prospectivity analysis, and producing hydrocarbons from the well.

19. The method of claim 1, wherein the computing includes computing the prospectivity score based on an average of the element scores for the at least two elements.

20. A computer program product, comprising a computer usable non-transitory medium having a computer readable program code embedded thereon, said computer readable program code adapted to be executed to implement a method for analyzing seismic data representing a subsurface region for presence of a hydrocarbon system or a particular play, comprising:

partitioning the seismic data volume to form a plurality of segments;

computing a prospectivity score for each voxel, wherein at least two elements are selected, and for each element at least one seismic attribute is selected, and then an element score is calculated for each selected element based on the selected at least one seismic attribute, and the prospectivity score is formed by combining the element scores;

ranking the plurality of segments for presence of a hydrocarbon system or the particular play based at least partly on prospectivity scores for the voxels of seismic data in each segment; and

wherein the elements are selected from a group consisting of reservoir, seal, trap, source, charge, overburden, maturation, migration, accumulation, and timing, or juxtaposition or coexistence of any two or more of them.