Exxonmobil Upstream Research Company

John F Schuette

Yao-Chou Cheng

Mark Wayne Dobin

Chul-Sung Kim

James E Holl

Alex Woronow

Eric A Schmidtke

Chrysanthe S Munn

Mark W Dobin

A method of creating a visual display based on a plurality of data sources is provided. An exemplary embodiment of the method comprises extracting a set of extracted data from the plurality of data sources and processing at least a portion of the extracted data with a set of knowledge agents according to specific criteria to create at least one data assemblage. The exemplary method also comprises providing an integrated two-dimensional/three-dimensional (2D/3D) visual display in which at least one 2D element of the at least one data assemblage is integrated into a 3D visual representation using a mapping identifier and a criteria identifier.

Functional-based knowledge analysis in a 2D and 3D visual environment

A method for performing region growing in a data volume that accounts for noise in the data on a probabilistic basis. The data volume is divided into discrete cells, and a probability distribution for each cell's datum value is calculated. Each probability distribution is randomly sampled to generate one probabilistic, noise-free realization for the data volume, and region growing is performed using selected criteria. The process is repeated for different realizations until sufficient statistics are accumulated to estimate the probable size and connectivity of objects discovered.

Method for estimation of size and analysis of connectivity of bodies in 2-  and 3-dimensional data

The invention is a method for analyzing spatially-varying noise in seismic data. Transitions between data values at adjacent data locations in a seismic data set are represented by Markov chains. Transition probability matrices are constructed from the Markov chains. Data values are predicted from the calculated transition probabilities. Noise values are determined from the predicted data values.

Method for analyzing spatially-varying noise in seismic data using Markov chains

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Houston, TX, United States of America

John F Schuette