Schlumberger Technology Corporation

Services Petroliers Schlumberger

Schlumberger Holdings Limited

Prad Research and Development Limited

Claude Signer

Cosan Ayan

Josselin Kherroubi

Lucian K Johnston

Nikita Chugunov

Ram Sunder Kalyanraman

Hua Yu

Hadrien Dumont

Tom R Bratton

Vassilis Varveropoulos

Jean-Luc Le Calvez

Eric Jeanson

Thomas Barrou

Piotr Mirowski

Vincenzo De Gennaro

Simon Edmundson

John Adam Donald

Stein Inge Pedersen

Mikhail Lemarenko

David McCormick

Daniel M Tetzlaff

Henri-Pierre Valero

Ke Jiang

Romain C A Prioul

Zhenning Bao

Randolph Koepsell

Peter Kaufman

Sebastien Roche

Guillaume Borrel

Nneka Williams

Morten Kristensen

Tomas Primitivo Bustos Cruz

Pierre Bettinelli

Wiwin Yuliana

Bo Ding

Marie Emeline Cecile Lefranc

A method that includes lowering a formation testing tool into a wellbore intersecting a subterranean formation. The formation testing tool comprises an expandable member. The method also includes performing a pressuremeter test (PMT) by expanding the expandable member.

System and method for evaluating static elastic modulus of subterranean formation

A method of transmitting borehole image data from a borehole location to a remote location includes obtaining a set of image data describing formation surrounding a borehole using a logging tool at a selected depth or range of depths in the borehole, extracting one or more image features from the set of image data downhole, and transmitting a representation of the extracted image features to the surface.

Method and system for transmitting borehole image data

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

Fracture- and stress-induced sonic anisotropy is distinguished using a combination of image and sonic logs. Borehole image and sonic logs are acquired via known techniques. Analysis of sonic data from monopole P- and S-waves, monopole Stoneley and cross-dipole shear sonic data in an anisotropic formation are used to estimate at least one compressional and two shear moduli, and the dipole fast shear direction. Fracture analysis of image logs enables determination of fracture types and geometrical properties. Geological and geomechanical analysis from image logs provide a priori discrimination of natural fractures and stress-induced fractures. A forward quantitative model of natural fracture- and stress-induced sonic anisotropy based on the knowledge of fracture properties interpreted from image logs allows the computation of the fast-shear azimuth and the difference in slowness between the fast- and slow-shear. The misfit between predicted and observed sonic measurements (i.e. fast-shear azimuth and slownesses) is then optimized in order to discriminate depth zones with an elastic medium as being influenced by the presence of open natural fractures, closed natural fractures and fractures induced by non-equal principal stress effects.

Discriminating natural fracture- and stress-induced sonic anisotropy using a combination of image and sonic logs

Growing community of inventors

Somerville, MA, United States of America

Claude Signer