Schlumberger Technology Corporation

Daniel M Tetzlaff

Oliver Clinton Mullins

Youxiang Zuo

Kang Wang

Andrew Emil Pomerantz

Cosan Ayan

Hadrien Dumont

Vinay K Mishra

Thomas Pfeiffer

Shu Pan

Yi Chen

Piotr Mirowski

Anish Kumar

Vladislav Achourov

Claude Signer

Armin Kauerauf

David McCormick

Colin Daly

Soraya S Betancourt Pocaterra

Jerimiah Forsythe

Jesus Alberto Canas

Nneka Williams

A method includes receiving first fluid property data from a first location in a hydrocarbon reservoir and receiving second fluid property data from a second location in the hydrocarbon reservoir. The method includes performing a plurality of realizations of models of the hydrocarbon reservoir according to a respective plurality of one or more plausible dynamic processes to generate one or more respective modeled fluid properties. The method includes selecting the one or more plausible dynamic processes based at least in part on a relationship between the first fluid property data, the second fluid property data, and the modeled fluid properties obtained from the realizations to identify potential disequilibrium in the hydrocarbon reservoir.

Reservoir fluid geodynamic system and method for reservoir characterization and modeling

A method can include defining a two dimensional grid of cells for a region associated with a geologic environment, assigning directions to at least some of the cells, tracing a first set of trajectories with respect to the grid based on the directions, determining a first set of scalar field values based on the first set of trajectories, rotating the directions, tracing a second set of trajectories with respect to the grid based on the rotated directions, determining a second set of scalar field values based on the second set of trajectories, outputting a map based on the first set of scalar field values and the second set of scalar field values and applying the map to map a spatially distributed variable in the region associated with the geologic environment. Various other apparatuses, systems, methods, etc., are also disclosed.

Rotations from gradient directions

A computer-implemented method is provided that automatically characterizes and verifies stationarity of a training image for use in multipoint geostatistical analysis. The stationarity is preferably characterized by statistical measures of orientation stationarity, scale stationarity, and category distribution stationarity.

Computer-based generation and validation of training images for multipoint geostatistical analysis

Growing community of inventors

Houston, TX, United States of America

Daniel M Tetzlaff