Invention Application
- Patent Title: RECOMMENDATION ENGINE FOR A COGNITIVE RESERVOIR SYSTEM
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Application No.: US17901629Application Date: 2022-09-01
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Publication No.: US20220413182A1Publication Date: 2022-12-29
- Inventor: Zackary H. Nolan , Shahram Farhadi Nia
- Applicant: BEYOND LIMITS, INC.
- Applicant Address: US CA Glendale
- Assignee: BEYOND LIMITS, INC.
- Current Assignee: BEYOND LIMITS, INC.
- Current Assignee Address: US CA Glendale
- Main IPC: G01V99/00
- IPC: G01V99/00 ; G06N3/08 ; G06N3/04 ; G06F30/20

Abstract:
Implementations described and claimed herein provide systems and methods for developing a reservoir. In one implementation, a reservoir model is received. The reservoir model includes a static model and a dynamic model. The static model includes one or more clusters of a three-dimensional volume of the reservoir and an uncertainty quantification generated using a neural network. The dynamic model includes pressure values and fluid saturation values propagated across the three-dimensional volume through a nodal connectivity of neighboring clusters. A set of input features is generated from the static model and the dynamic model. The set of input features is related to a drilling attractiveness of a target region of the reservoir using a set of rules executed by a fuzzy inference engine. A quantification of the drilling attractiveness is generated. A recommendation for drilling in the reservoir is output based on the quantification of the drilling attractiveness.
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