Invention Grant
- Patent Title: Deep learning based reservoir modeling
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Application No.: US16614858Application Date: 2017-07-21
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Publication No.: US11599790B2Publication Date: 2023-03-07
- Inventor: Yogendra Narayan Pandey , Keshava Prasad Rangarajan , Jeffrey Marc Yarus , Naresh Chaudhary , Nagaraj Srinivasan , James Etienne
- Applicant: Landmark Graphics Corporation
- Applicant Address: US TX Houston
- Assignee: Landmark Graphics Corporation
- Current Assignee: Landmark Graphics Corporation
- Current Assignee Address: US TX Houston
- Agency: DeLizio, Peacock, Lewin & Guerra
- International Application: PCT/US2017/043228 WO 20170721
- International Announcement: WO2019/017962 WO 20190124
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G01V99/00 ; G06K9/62

Abstract:
Embodiments of the subject technology for deep learning based reservoir modelling provides for receiving input data comprising information associated with one or more well logs in a region of interest. The subject technology determines, based at least in part on the input data, an input feature associated with a first deep neural network (DNN) for predicting a value of a property at a location within the region of interest. Further, the subject technology trains, using the input data and based at least in part on the input feature, the first DNN. The subject technology predicts, using the first DNN, the value of the property at the location in the region of interest. The subject technology utilizes a second DNN that classifies facies based on the predicted property in the region of interest.
Public/Granted literature
- US20200160173A1 Deep Learning Based Reservoir Modeling Public/Granted day:2020-05-21
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