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

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.