Chevron U.s.a. Inc.

Todd C Dygert

James P Disiena

Cung Khac Vu

Henry W Posamentier

Ke Wang

Yuanbo Lin

Morgan David Sullivan

Ellen Xiaoxia Xu

Julio De La Colina

A method is described for estimating hydrocarbon reservoir attributes including obtaining a geophysical dataset and a geological dataset; obtaining a parameter model, the parameter model having been conditioned by training an initial parameter model using training data, wherein the geological data includes well data and the training data includes the well data; picking a surface in the geophysical dataset; assigning stratigraphic meaning to the at least one surface based on the geological dataset; identifying at least one region of interest on the at least one surface; generating statistical seismic attributes for the at least one region; identifying critical attributes among the statistical seismic attributes by applying the parameter model to generate response variable maps for the at least one region; and generating uncertainty maps for each of the critical attributes and for the response variables. The method may be executed by a computer system.

System and method for lateral statistical estimation of rock and fluid properties in a subsurface formation

Geologic information may be extracted from multiple offset stacks and/or angle stacks. Offset stacks and/or angle stacks may be received that represent energy that has propagated through a geologic volume of interest from energy sources to energy receivers. Attribute volumes associated with individual source-receiver offsets and/or source-receiver angles may be determined based on corresponding offset stacks and/or angle stacks. For individual offset stacks or angle stacks, corresponding sets of geologic features represented in the attribute volumes may be identified. The sets of geologic features corresponding to the different offset stacks and/or angle stacks to may be compared to determine discrepancies and/or similarities between the sets of geologic features corresponding to the different offset stacks and/or angle stacks. Stratigraphic interpretations, stratigraphic predictions, and/or other interpretations and/or predictions may be determined based on causes of the discrepancies and/or similarities.

Extracting geologic information from multiple offset stacks and/or angle stacks

Self-consistency and/or differences between volume images and interpreted spatial/volumetric context may be exploited for improving seismic imaging and estimation of attributes of geobodies, in accordance with one or more embodiments. Exemplary embodiments allow exploitation of positional and/or shape discrepancies and/or similarities of geobodies in image volumes associated with a geologic model of a geologic volume of interest to improve the accuracy of the geologic model and/or the image volumes. Constraints associated with the geologic volume of interest may be determined and/or utilized to confirm and/or specify dependencies between attributes that are potentially associated with individual geobodies.

Exploitation of self-consistency and differences between volume images and interpreted spatial/volumetric context

Embodiments of the present technology integrate seismic data and geologic concepts into earth model building. More specifically, exemplary embodiments provide new ways to build an earth model based on information in the seismic data and geologic concepts to use as a context to interpret the seismic data and/or to add to the earth model in regions where the seismic data is missing (e.g., either no data or no data resolvability). In some embodiments, a deterministic framework is generated for an earth models through deterministic identification of discrete geobodies. A hybrid deterministic-geostatistical earth model is generated by filling stratigraphic gaps in a deterministic framework using geostatistical information and/or seismic inversion, in accordance with some embodiments.

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Humble, TX, United States of America

Todd C Dygert