Published Papers

First Break, Volume 36, May 2018, pages 37-45.
Аннотация

Geoffrey A. Dorn presents a novel post-stack structurally oriented coherent noise filter that removes footprint of any orientation and wavelength from a seismic volume.

A. Contreras and C. Torres-Verdin, The University of Texas at Austin, W. Chesters and K. Kvien, Fugro-Jason Rotterdam, and M.Globe, Anadarko Petroleum Corporation
Аннотация

Uncertainty will always play a dominant role in oil field exploration and development. Because uncertainty drives costs, quantifying and minimizing that uncertainty is a primary goal for asset teams. To achieve this goal, geologists and geoscientists must make sense of disparate data, bringing together a myriad of information from different sources and with varying measurement scales. To further complicate the analysis, the data are always sparse and incomplete, leaving vast areas of the subsurface unmeasured. Rising to this challenge is a new best practice: combining well, seismic and other data through 3D Geostatistical Inversion. Validated by leading industry experts, this best practice has proven its value in producing highly-detailed, realistic 3D numerical reservoir models with more accurate estimates of uncertainty and less bias than other reservoir modeling and characterization methods.

2012
Аннотация

This paper describes a novel methodology to integrate well logs and 3D pre-stack seismic data. The objective is to assess lateral continuity and spatial extent of lithology and fluid units penetrated by a well.

Contreras, A., Torres-Verdin, C., Kvein, K., Fasnacht, T. and Chesters, W. [2005] AVA Stochastic Inversion of Pre-Stack Seismic Data and Well Logs for 3D Reservoir Modeling. EAGE 67th Conference & Exhibition — Madrid, Spain, 13 - 16 June 2005. T-015.
Аннотация

This paper describes the application of a novel AVA stochastic inversion algorithm to quantitatively integrate pre-stack seismic data and well logs. The stochastic inversion algorithm is used to characterize flow units of a deep-water Miocene reservoir located in the central Gulf of Mexico.

Contreras, A. and Torres-VerdГ­n, C. [2004] AVA sensitivity analysis and inversion of 3D pre-stack seismic data to delineate a mixed carbonate-siliciclastic reservoir in the Barinas -Apure Basin, Venezuela. Not published externally.
Аннотация

A detailed AVA sensitivity analysis was conducted to assess the nature of AVA effects in the study area. Such study included cross-plot analysis, Biot-Gassmann fluid substitution, AVA reflectivity modeling, and numerical simulation of synthetic gathers.

Merletti, G.D., and Torres-Verdin, C. [2010] Detection and Spatial Delineation of Thin-Sand Sedimentary Sequences With Joint Stochastic Inversion of Well Logs and 3D Prestack Seismic Amplitude Data. April 2010 SPE Reservoir Evaluation & Engineering, 246 - 264.
Аннотация

Paper describes the successful application of a new prestack stochastic inversion algorithm to the spatial delineation of thin reservoir units otherwise poorly defined with deterministic inversion procedures. The new stochastic inversion yields spatial distributions of lithottype and elastic properties with a vertical resolution between 10-15m that accurately describe spatial trends of clinoform sedimentary sequences and their associated reservoir units.