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:
Jul. 16, 2013
Filed:
Sep. 08, 2008
Dzevat Omeragic, Lexington, MA (US);
Tarek M. Habashy, Burlington, MA (US);
Valery Polyakov, Brookline, MA (US);
Raymond Kocian, Osprey, FL (US);
Yong-hua Chen, Belmont, MA (US);
Sofia Davydycheva, Sugar Land, TX (US);
Raphael Altman, College Station, TX (US);
Carlos Maeso, Kuala Lumpur, MY;
Douglas Hupp, Anchorage, AK (US);
Dzevat Omeragic, Lexington, MA (US);
Tarek M. Habashy, Burlington, MA (US);
Valery Polyakov, Brookline, MA (US);
Raymond Kocian, Osprey, FL (US);
Yong-Hua Chen, Belmont, MA (US);
Sofia Davydycheva, Sugar Land, TX (US);
Raphael Altman, College Station, TX (US);
Carlos Maeso, Kuala Lumpur, MY;
Douglas Hupp, Anchorage, AK (US);
Schlumberger Technology Corporation, Sugar Land, TX (US);
Abstract
LWD measurements to be used for proactive well placement while drilling a high angle or horizontal wellbore in a reservoir are defined. An initial reservoir model is provided and a section is extracted for a planned wellbore trajectory. A secondary model is generated for the planned trajectory. An area of interest is identified where statistical uncertainty is high. Possible causes of the statistical uncertainty are identified that are not present in the initial reservoir model. A set of parameters are defined based on the possible causes of statistical uncertainty. The area of interest is logged with LWD tool. Sensitivities of the LWD tool response to a subset of parameters are evaluated by performing tertiary model for a range of the subset of parameters. The most sensitive parameters from the subset of parameters and corresponding measurements are identified. LWD measurements are defined based on the most sensitive parameters.