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.

Date of Patent:
Mar. 02, 2021

Filed:

Oct. 24, 2016
Applicant:

Halliburton Energy Services, Inc., Houston, TX (US);

Inventors:

Ming Gu, Atascocita, TX (US);

John Andrew Quirein, Williamson, TX (US);

Dingding Chen, Tomball, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/50 (2006.01); E21B 43/26 (2006.01); G01V 1/40 (2006.01); G06F 30/20 (2020.01); E21B 44/00 (2006.01); G01V 1/48 (2006.01);
U.S. Cl.
CPC ...
G01V 1/50 (2013.01); E21B 43/26 (2013.01); E21B 44/00 (2013.01); G01V 1/40 (2013.01); G06F 30/20 (2020.01); E21B 2200/22 (2020.05); G01V 1/48 (2013.01); G01V 2200/16 (2013.01); G01V 2210/586 (2013.01); G01V 2210/6169 (2013.01); G01V 2210/626 (2013.01); G01V 2210/646 (2013.01);
Abstract

Near real-time methodologies for maximizing return-on-fracturing-investment for shale fracturing. An example system can calculate, based on sonic data and density data, mechanical properties and closure stress of a portion of shale rocks for fracture modeling. The system can generate one or more rock mechanical models based on the mechanical properties and closure stress of the portion of shale rocks, and perform one or more fracture modeling simulations based on one or more treatment parameter values. Based on the one or more fracture modeling simulations, the system can generate a neural network model which predicts a fracture productivity indicator of an effective propped area (EPA) and/or an effective propped length (EPL), and calculate a return-on-fracturing-investment (ROFI) based on the EPA or EPL predicted by the neural network model.


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