EP4591234A4 - Automatische bohrlochprotokollrekonstruktion - Google Patents
Automatische bohrlochprotokollrekonstruktionInfo
- Publication number
- EP4591234A4 EP4591234A4 EP23868812.1A EP23868812A EP4591234A4 EP 4591234 A4 EP4591234 A4 EP 4591234A4 EP 23868812 A EP23868812 A EP 23868812A EP 4591234 A4 EP4591234 A4 EP 4591234A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- drill hole
- automatic drill
- protocol reconstruction
- reconstruction
- protocol
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V20/00—Geomodelling in general
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
- E21B2200/20—Computer models or simulations, e.g. for reservoirs under production, drill bits
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
- E21B2200/22—Fuzzy logic, artificial intelligence, neural networks or the like
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/40—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/61—Analysis by combining or comparing a seismic data set with other data
- G01V2210/616—Data from specific type of measurement
- G01V2210/6169—Data from specific type of measurement using well-logging
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Geochemistry & Mineralogy (AREA)
- Fluid Mechanics (AREA)
- Environmental & Geological Engineering (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Geophysics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Computational Linguistics (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202263376212P | 2022-09-19 | 2022-09-19 | |
| PCT/US2023/032712 WO2024064007A1 (en) | 2022-09-19 | 2023-09-14 | Automatic well log reconstruction |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP4591234A1 EP4591234A1 (de) | 2025-07-30 |
| EP4591234A4 true EP4591234A4 (de) | 2026-01-14 |
Family
ID=90455061
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP23868812.1A Pending EP4591234A4 (de) | 2022-09-19 | 2023-09-14 | Automatische bohrlochprotokollrekonstruktion |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP4591234A4 (de) |
| CA (1) | CA3268211A1 (de) |
| WO (1) | WO2024064007A1 (de) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130304680A1 (en) * | 2012-05-10 | 2013-11-14 | Bp Exploration Operating Company Limited | Predictive corrosion coupons from data mining |
| WO2021046576A1 (en) * | 2019-09-06 | 2021-03-11 | Schlumberger Technology Corporation | Unsupervised well log reconstruction and outlier detection |
| US20210110280A1 (en) * | 2017-05-08 | 2021-04-15 | Schlumberger Technology Corporation | Integrating Geoscience Data to Predict Formation Properties |
| US20220170359A1 (en) * | 2019-03-21 | 2022-06-02 | Schlumberger Technology Corporation | Drilling system |
| WO2022178507A1 (en) * | 2021-02-18 | 2022-08-25 | Schlumberger Technology Corporation | Geologic learning framework |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA3075747A1 (en) * | 2017-09-13 | 2019-03-21 | Schlumberger Canada Limited | Probabilistic oil production forecasting |
-
2023
- 2023-09-14 EP EP23868812.1A patent/EP4591234A4/de active Pending
- 2023-09-14 CA CA3268211A patent/CA3268211A1/en active Pending
- 2023-09-14 WO PCT/US2023/032712 patent/WO2024064007A1/en not_active Ceased
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130304680A1 (en) * | 2012-05-10 | 2013-11-14 | Bp Exploration Operating Company Limited | Predictive corrosion coupons from data mining |
| US20210110280A1 (en) * | 2017-05-08 | 2021-04-15 | Schlumberger Technology Corporation | Integrating Geoscience Data to Predict Formation Properties |
| US20220170359A1 (en) * | 2019-03-21 | 2022-06-02 | Schlumberger Technology Corporation | Drilling system |
| WO2021046576A1 (en) * | 2019-09-06 | 2021-03-11 | Schlumberger Technology Corporation | Unsupervised well log reconstruction and outlier detection |
| WO2022178507A1 (en) * | 2021-02-18 | 2022-08-25 | Schlumberger Technology Corporation | Geologic learning framework |
Non-Patent Citations (2)
| Title |
|---|
| BAHADIR CAGLA DENIZ ET AL: "Learning-Based Optimization of the Under-Sampling Pattern in MRI", 22 May 2019, ADVANCES IN DATABASES AND INFORMATION SYSTEMS; [LECTURE NOTES IN COMPUTER SCIENCE; LECT.NOTES COMPUTER], SPRINGER INTERNATIONAL PUBLISHING, CHAM, PAGE(S) 780 - 792, ISBN: 978-3-319-10403-4, XP047508182 * |
| See also references of WO2024064007A1 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CA3268211A1 (en) | 2024-03-28 |
| WO2024064007A1 (en) | 2024-03-28 |
| EP4591234A1 (de) | 2025-07-30 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: THE INTERNATIONAL PUBLICATION HAS BEEN MADE |
|
| PUAI | Public reference made under article 153(3) epc to a published international application that has entered the european phase |
Free format text: ORIGINAL CODE: 0009012 |
|
| STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE |
|
| 17P | Request for examination filed |
Effective date: 20250324 |
|
| AK | Designated contracting states |
Kind code of ref document: A1 Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC ME MK MT NL NO PL PT RO RS SE SI SK SM TR |
|
| REG | Reference to a national code |
Ref country code: DE Ref legal event code: R079 Free format text: PREVIOUS MAIN CLASS: G06N0005020000 Ipc: G01V0011000000 |
|
| DAV | Request for validation of the european patent (deleted) | ||
| DAX | Request for extension of the european patent (deleted) | ||
| A4 | Supplementary search report drawn up and despatched |
Effective date: 20251215 |
|
| RIC1 | Information provided on ipc code assigned before grant |
Ipc: G01V 11/00 20060101AFI20251209BHEP Ipc: G01V 20/00 20240101ALI20251209BHEP Ipc: E21B 43/00 20060101ALI20251209BHEP Ipc: E21B 47/00 20120101ALI20251209BHEP Ipc: E21B 49/00 20060101ALI20251209BHEP Ipc: G06N 5/01 20230101ALI20251209BHEP Ipc: G06N 20/20 20190101ALI20251209BHEP Ipc: G01V 1/40 20060101ALN20251209BHEP |