CA3076181A1 - Inferring petrophysical properties of hydrocarbon reservoirs using a neural network - Google Patents
Inferring petrophysical properties of hydrocarbon reservoirs using a neural network Download PDFInfo
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- G06T2207/10081—Computed x-ray tomography [CT]
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- G06T2207/10088—Magnetic resonance imaging [MRI]
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- G06T2207/20081—Training; Learning
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201762559024P | 2017-09-15 | 2017-09-15 | |
| US62/559,024 | 2017-09-15 | ||
| PCT/US2018/051066 WO2019055774A1 (en) | 2017-09-15 | 2018-09-14 | DEDUCTION OF PETROPHYSICAL PROPERTIES OF HYDROCARBON RESERVOIRS USING A NEURONAL NETWORK |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CA3076181A1 true CA3076181A1 (en) | 2019-03-21 |
Family
ID=63714141
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA3076181A Pending CA3076181A1 (en) | 2017-09-15 | 2018-09-14 | Inferring petrophysical properties of hydrocarbon reservoirs using a neural network |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US10991078B2 (enExample) |
| EP (1) | EP3682376A1 (enExample) |
| JP (1) | JP7187099B2 (enExample) |
| CN (1) | CN111316294A (enExample) |
| CA (1) | CA3076181A1 (enExample) |
| SA (1) | SA520411503B1 (enExample) |
| WO (1) | WO2019055774A1 (enExample) |
Cited By (1)
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| US20230145880A1 (en) * | 2020-03-26 | 2023-05-11 | Shell Oil Company | Method for predicting geological features from images of geologic cores using a deep learning segmentation process |
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| CN108807821B (zh) | 2018-06-20 | 2021-03-19 | 宁德新能源科技有限公司 | 隔离膜和电化学装置 |
| US11640525B2 (en) * | 2018-07-23 | 2023-05-02 | The Board Of Regents Of The University Of Oklahoma | Synthesis of sequential, spectral, and time-series data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20230145880A1 (en) * | 2020-03-26 | 2023-05-11 | Shell Oil Company | Method for predicting geological features from images of geologic cores using a deep learning segmentation process |
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| WO2019055774A1 (en) | 2019-03-21 |
| EP3682376A1 (en) | 2020-07-22 |
| US10991078B2 (en) | 2021-04-27 |
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| JP2020534456A (ja) | 2020-11-26 |
| US20190087939A1 (en) | 2019-03-21 |
| CN111316294A (zh) | 2020-06-19 |
| SA520411503B1 (ar) | 2023-02-09 |
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