Method of predicting connectivity between parts of a potential hydrocarbon reservoir and analyzing 3D data in a subsurface region

• US 8,370,122 B2
• Filed: 11/13/2008
• Issued: 02/05/2013
• Est. Priority Date: 12/21/2007
• Status: Active Grant

• Current Assignee: Exxonmobil Upstream Research Company (Exxon Mobil Corporation)
• Original Assignee: Exxonmobil Upstream Research Company (Exxon Mobil Corporation)
• Inventors: Walker, Kelly G., Chartrand, Timothy A., Dunn, Paul A.
• Primary Examiner(s): Jacob, Mary C
• Assistant Examiner(s): Chad, Aniss
• Application Number:
  US12/738,018
• Publication Number:
  US 20100274543A1
• Time in Patent Office: 1,545 Days
• Field of Search: 703/6, 703/10, 702 14- 16
• US Class Current: 703/10
• CPC Class Codes: G01V 1/302 in 3D data cubes
• CPC Class Codes: G01V 2210/641 Continuity of geobodies
• CPC Class Codes: G01V 2210/644 Connectivity, e.g. for fluid movement
• CPC Class Codes: G01V 99/00 Subject matter not provided for in other groups of this subclass

Abstract

A method and apparatus for segmenting geobodies extracted from three-dimensional geophysical survey data volumes. In one embodiment, the invention involves (a) obtaining a plurality of data elements, respectively corresponding to three-dimensional locations in a subsurface region, and generating a data volume consisting of discrete cells from the plurality of data elements (1); (b) identifying an initial geobody corresponding to a potential hydrocarbon reservoir within the data volume by grouping cells in the data volume according to a selected connectivity criterion (2); (c) selecting a rule (3) that characterizes stratigraphically reasonable geobodies (e.g. they cannot vertically overlap); and (d) in response to a determination that the initial geobody does not conform to the rule, segmenting the initial geobody into a plurality of fundamental geobodies via processing the data elements with an automated segmentation routine, wherein the fundamental geobodies each conform to the rule (4).

Claims

1. An oil and gas prospecting method for predicting connectedness between parts of a potential hydrocarbon reservoir identified in a geophysical data volume corresponding to a subsurface region, wherein the geophysical data are seismic data or seismic attribute data, the method comprising:

obtaining a plurality of data elements, respectively corresponding to three-dimensional locations in the subsurface region, and generating a data volume consisting of discrete cells from the plurality of data elements;

identifying an initial geobody corresponding to a potential hydrocarbon reservoir within the data volume by grouping cells in the data volume according to a selected connectivity criterion;

selecting a rule that characterizes stratigraphically reasonable geobodies, wherein the rule is a law of superposition, limiting the extent to which a geobody may overlap itself in the vertical dimension, wherein two cells in a geobody are considered to overlap if they have the same horizontal coordinates and are separated vertically by at least one cell not in the geobody;

in response to a determination that the initial geobody does not conform to the rule, segmenting the initial geobody into a plurality of fundamental geobodies via processing the data elements with an automated segmentation routine that uses a 3D network of boundaries developed by performing statistical clustering analysis on the initial geobody, wherein the segmenting includes clustering cells in the potential geobody based on positional data or seismic attribute data or a combination thereof, forming a plurality of non-overlapping clusters which are identified as fundamental geobodies, and wherein the fundamental geobodies each conform to the rule; and

using the fundamental geobodies to predict connectedness between parts of the potential hydrocarbon reservoir;

wherein segmenting the initial geobody into a plurality of fundamental geobodies further comprises;

(i) performing statistical clustering using one or more selected spatial or attribute criteria until no individual cluster violates the selected rule for stratigraphic reasonableness;

(ii) identifying number and spatial locations of all clusters using one or more selected connectivity criteria;

(iii) detecting all possible pairs of clusters that do not conform to the selected rule for stratigraphical reasonableness;

(iv) selecting a pair of clusters that do not conform to the rule and applying an A* shortest path algorithm to identify a shortest path between the selected pair of clusters;

(v) identifying a location of maximum change where the shortest path crosses a boundary between adjacent clusters and designating all cells having the same horizontal coordinates as that location as a barrier cell set throughout the thickness of the initial geobody;

(vi) repeating steps (iv) and (v) until there are no longer any possible paths between the selected pair of clusters;

(vii) repeating steps (iii) through (vi) until there are no longer any cluster pairs that violate the selected rule; and

(vii) segmenting the initial geobody into two or more fundamental geobodies using the designated barrier cells.

2. The method of claim 1, wherein the geophysical data are seismic data or seismic attribute data.

3. The method of claim 1, further comprising after a determination that the initial geobody does not conform to the rule but before segmenting:

selecting a threshold considered to approximate noise levels in the data, then identifying the cells that are responsible for the initial geobody'"'"'s nonconformance to the selected rule, then adjusting the initial geobody by removing any such cells having data values below the selected noise-related threshold, then repeating the determination of whether the initial geobody, after said adjustment, conforms to the rule.

4. The method of claim 1, wherein the rule is a lateral bifurcation criterion, whereby a criterion is selected limiting geobody branching in a horizontal dimension.

5. The method of claim 1, wherein the automated segmentation routine uses a shortest path search algorithm.

6. The method of claim 1, wherein the automated segmentation routine uses a shortest path search algorithm to find shortest paths between pairs of at least partially overlapping clusters within the initial geobody.

7. The method of claim 1, wherein the statistical clustering analysis is k-means clustering or hierarchical divisive clustering.

8. The method of claim 1, wherein the statistical clustering analysis is hierarchical agglomerative clustering.

9. The method of claim 1, further comprising planning development of the potential hydrocarbon reservoir using connectivity assumptions based on the fundamental geobodies.