The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 24, 2015
Filed:
Apr. 22, 2011
Matthias G. Imhof, Katy, TX (US);
Pavel Dimitrov, Houston, TX (US);
Kelly Wrobel, Houston, TX (US);
Krishnan Kumaran, Raritan, NJ (US);
Martin J. Terrell, Spring, TX (US);
Stefan Hussenoeder, Sugar Land, TX (US);
Matthias G. Imhof, Katy, TX (US);
Pavel Dimitrov, Houston, TX (US);
Kelly Wrobel, Houston, TX (US);
Krishnan Kumaran, Raritan, NJ (US);
Martin J. Terrell, Spring, TX (US);
Stefan Hussenoeder, Sugar Land, TX (US);
ExxonMobil Upstream Research Company, Houston, TX (US);
Abstract
Method for analyzing seismic data representing a subsurface region for presence of a hydrocarbon system or a particular play. Seismic attributes are computed, the attributes being selected to relate to the classical elements of a hydrocarbon system, namely reservoir, seal, trap, source, maturation, and migration. Preferably, the attributes are computed along structural fabrics () of the subsurface region, and are smoothed over at least tens or hundreds of data voxels. The resulting geologic attributes () are used to analyze the data for elements of the hydrocarbon system and/or recognition of specific plays, and for ranking and annotating partitioned regions () of the data volume based on size, quality, and confidence in the prospectivity prediction (). A catalog () of hydrocarbon trap configurations may be created and used to identify potential presence of hydrocarbon traps and/or aid in scoring () and ranking partitioned regions as hydrocarbon prospects.