Chevron U.s.a. Inc.

Morgan David Sullivan

Tao Sun

Michael James Pyrcz

Ashley D Harris

Maisha Lara Amaru

Martin Perlmutter

Fabien J Laugier

Brian J Willis

Brett M Hern

Jacob Covault

Ke Wang

Yuanbo Lin

James P Disiena

Henry W Posamentier

Todd C Dygert

Lewis Li

Tim McHargue

Julian Clark

Andrea Fildani

Ellen Xiaoxia Xu

Nick J Drinkwater

Tim R Mchargue

Michael J Pyrcz

A method is described for analysis of subsurface data including the use of physics-based modeling and experimental design that allows calculation of probabilities of physical subsurface properties. The method may include calculations of key controlling parameters. The method may include using multiple dimension scaling. The method may be executed by a computer system.

System and method for analysis of subsurface data

A subsurface representation may define simulated subsurface configuration of a simulated subsurface region. The simulated subsurface region may include simulated wells, and the simulated subsurface configuration may define simulated correlation between the simulated wells. Subsurface configuration of wells may be compared with the simulated subsurface configuration to generate similarity maps for the wells. Simulated wells may be matched to the wells based on the similarity maps and the arrangement of the wells. Correlation between the wells may be determined based on the simulated correlation between the matched simulated wells.

Correlation of multiple wells using subsurface representation

Correlation matrices may be used to simultaneously correlate multiple wells. A correlation matrix may be generated for individual pairs of multiple wells. The values of elements of the correlation matrices may be determined based on matching between segments of the multiple wells and segments of one or more computational stratigraphic models. An N-dimensional space including an axis for individual wells may be generated. Directed walk may be performed within the N-dimensional space to generate paths representing scenarios of correlations for segments of the multiple wells.

Correlation matrix for simultaneously correlating multiple wells

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

Depth-averaged flow simulation systems and methods provided herein employ parameterized templates for dynamical depth profiling for at least one step of a simulation. In one illustrative computer-based embodiment, the simulation method includes, for each map point at one given time step: determining a flow template and a sediment concentration template based on depth-averaged flow velocity and depth-averaged sediment concentrations of different classes of grain size for that map point; employing the templates to construct a vertically-distributed flow velocity profile and vertically-distributed sediment concentration profiles for associated classes of grain size for that map point, thereby obtaining 3D flow velocity and 3D sediment concentration fields; using the 3D fields to calculate fluid and sediment fluxes; updating the flow velocity and sediment concentration profiles based on the divergence of the fluxes; integrating the profiles to compute updated depth-averaged flow velocity and sediment concentrations and center of gravity; and solving the depth-averaged flow equations for the next time step.

Sediment transport simulation with parameterized templates for depth profiling

A new gridding method is disclosed for forward stratigraphic modeling that allows for syndepositional and/or postdepositional fault movement. The new gridding algorithm may represent both the lateral move of structure block, and provide efficiency that is comparable to the structured grid for forward stratigraphy model accessing previous deposited sediments stored in the grid. Embodiments of the disclosed methods allow for structural moves by performing a set of simple operations on the grid. The operations are generally simple, and do not change the overall topology of the grid. Therefore the operation can be easily repeated and the overall topological structure of the grid remains largely unchanged for simple access by the forward stratigraphic model. Further details and advantages of various embodiments of the method are described in more herein.

Method of stratigraphic modeling of faults

A system configured to model geometric architectures of flow events in geological reservoirs. In one embodiment, the system comprises a geological control input, a rules module, and a modeling module. The geological control input is configured to receive a set of environmental conditions that act as geological controls impacting a geometric architecture of a geological reservoir at a point in geologic time. The rules module is configured to apply a set of rules to the set of environmental conditions present at the point in geologic time to determine geometric flow parameters of the geometric architecture, wherein the set of rules comprise one or more empirical rules. The modeling module is configured to model the geometric architecture based on the geometric flow parameters determined for the flow event by the rules module.

System and method for modeling flow events responsible for the formation of a geological reservoir

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Spring, TX, United States of America

Morgan David Sullivan