- Patent Title: Workflow for predictive model to select formation damage treatment
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Application No.: US16025861Application Date: 2018-07-02
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Publication No.: US11459885B2Publication Date: 2022-10-04
- Inventor: Denise Nicole Benoit , Enrique Antonio Reyes , Kristina Henkel Holan
- Applicant: Halliburton Energy Services, Inc.
- Applicant Address: US TX Houston
- Assignee: Halliburton Energy Services, Inc.
- Current Assignee: Halliburton Energy Services, Inc.
- Current Assignee Address: US TX Houston
- Agency: McGuireWoods LLP
- Main IPC: E21B49/00
- IPC: E21B49/00 ; E21B49/02 ; C09K8/62

Abstract:
Provided are methods for selecting a treatment for a subterranean formation in accordance with the disclosure and the illustrated FIGs. An example method comprises obtaining a formation material, measuring a geomechanical property of the formation material, measuring a mineralogy of the formation material, preparing a predictive model for the formation material from the measured geomechanical property and the mineralogy of the formation material; wherein the predictive model analyzes production over time for a plurality of treatments for the formation material, wherein the formation material is treated with each treatment in the plurality of treatments and the geomechanical property and the mineralogy of the formation material are measured before and after an individual treatment, selecting the treatment having the greatest production from the plurality of treatments, and contacting the subterranean formation with the treatment.
Public/Granted literature
- US20200003052A1 WORKFLOW FOR PREDICTIVE MODEL TO SELECT FORMATION DAMAGE TREATMENT Public/Granted day:2020-01-02
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