Schlumberger Technology Corporation

Statoil Petroleum As

David McCormick

Tuanfeng Zhang

Ridvan Akkurt

Neil Francis Hurley

Piotr Mirowski

Mark Thompson

Stein Inge Pedersen

Claude Signer

Daniel M Tetzlaff

Hartmut Hubertus Schütt

Shu Zhang

Richard Tøndel

Robert John Godfrey

Christen Knudby

Jonathan Paul Ingham

Nneka Williams

Methods of generating structural models of highly deviated or horizontal wells may be generated from the measurement of true stratigraphic thickness in three dimensions (TST3D). In one aspect, methods may include generating a structural model from one or more deviation surveys of a horizontal well, one or more single channel log measurements, and a three-dimensional reference surface.

Stratigraphic and structural interpretation of deviated and horizontal wellbores

A methodology and system promote hydrocarbon production from a reservoir using steam assisted gravity drainage. The technique comprises deploying sensors in a subsurface environment containing the reservoir. The sensors are used to obtain data on properties related to a steam assisted gravity drainage region of the reservoir. Based on the data collected from the sensors, the amount of steam injected into areas of the reservoir may be adjusted to facilitate, e.g., optimize, production of hydrocarbons.

Monitoring of steam chamber growth

A multipoint geostatistics computer-implemented method for modeling of discrete properties, comprising acquiring by a computer software program a training image made from at least one dimensional array of discrete property values, the values depicting the spatial relationship and variability considered to be typical of a n-dimensional surface to be modeled; constructing a search tree, the tree representing the probability of occurrence of combinations of values of a discrete property value, the construction being performed by counting these occurrences in the training image. The non-branching sequences of the search tree are compressed to what essentially amounts to a single node, by keeping only the relevant information the sequences contain.

Multipoint geostatistics method using branch runlength compression and local grid transformation

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

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Acton, MA, United States of America

David McCormick