Schlumberger Technology Corporation

Services Petroliers Schlumberger

Geoquest Systems B.v.

Emmanuel Malvesin

Frantz Maerten

Julien Renaudeau

Arnaud Levannier

Jean Pierre Joonnekindt

Tormod Slettemeas

Julien Reneaudeau

A method of simulating a process of a geological structure includes obtaining a first digital model including structural data representing a geological structure. The method also includes selecting at least one marching technique based in part on a grid dimension and a grid cell shape of a grid on the first digital model. The method further includes applying the at least one marching technique to at least a portion of the structural data of the first digital model to identify at least some boundary data. The method further includes populating a second digital model based in part on the first digital model, a property, and the boundary data. The method further includes simulating a process of the geological structure using the second digital model.

Implicit property modeling

Methods, computing systems, and computer-readable media for modeling a subterranean volume, of which the methods include receiving data representing a geology of the subterranean volume, calculating a mesh for a digital model of the subterranean volume, generating the digital model using the mesh and the data, wherein generating the digital model comprises defining an implicit function for isostratigraphic surfaces of the subterranean volume. calculating values for a plurality of data points in the model using the implicit function, determining a discrepancy value for the individual data points, identifying a sample domain in the digital model, determining a refined implicit function for the sample domain, and modeling the subterranean volume using the refined implicit function for the sample domain and the implicit function for an area outside of the sample domain in the digital model.

Meshless and mesh-based technique for modeling subterranean volumes

A method for computing effective permeability for a discrete fracture network in a subterranean environment. The method may include: obtaining () attributes of the discrete fracture network, spatially sampling () points on the surfaces of fractures inside a computation cell; allocating () to each sampled point at least one attribute of the corresponding fracture, computing () discrete pressure values in the computation cell at the location of the sampled points by solving partial derivative equations of a flow model; computing effective permeability () values for the computation cell from the pressures values.

Effective permeability upscaling for a discrete fracture network

A method can include receiving spatially located geophysical data of a geologic region as acquired by one or more sensors; solving a system of equations for multi-dimensional implicit function values within a multi-dimensional space that represents the geologic region where the system of equations are subject to a smoothness constraint and subject to a weighted curvature minimization criterion at a plurality of spatially located points based on the spatially located geophysical data; and rendering to a display, a structural model of the geologic region based at least in part on the multi-dimensional implicit function values where the structural model characterizes stratigraphy of the geologic region.

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Montpellier, France

Emmanuel Malvesin