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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 17, 2024
Paper Number: SPE-218455-MS
... of these areas will be addressed individually. communication protocol implementation information fusion specialist rig successful adoption drilling operation machine learning adoption transformation incident building trust responsibility artificial intelligence recommendation drilling...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 17, 2024
Paper Number: SPE-218446-MS
.../well testing production logging production control allocation hypothesis drillstem testing reservoir surveillance case 1 information flowline simulated case 2 simulated case 1 gor shutdown linear regression mpm sm 3 reservoir simulation artificial intelligence machine learning...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 17, 2024
Paper Number: SPE-218423-MS
... data, the capabilities and delivery quality of service vendors, the robustness of our machine learning models, the crucial importance of quality control, the significance of integrating petrophysical logs and PVT data, the pitfalls inherent in this technology, and provide general guidance for future...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 17, 2024
Paper Number: SPE-218439-MS
... representation adoption machine learning evaluation arxiv preprint arxiv corpus geology natural language vector representation llm application conversational llm gpt-3 chatgpt Introduction Hydrocarbon exploration and carbon capture and storage (CCS) evaluation are inherently multi...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 17, 2024
Paper Number: SPE-218461-MS
... transmissions of laboratory data from the FluidFlower to a cloud-based simulation- and machine learning environment, and complete the loop with applying optimal control algorithms to steer the experiment. As part of the proof of concept, we also demonstrate that the machine learning environment can identify...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 17, 2024
Paper Number: SPE-218449-MS
... relative permeability data within each rock type that can greatly reduce the uncertainty of defining relative permeability input and accelerate the process of dynamic reservoir modeling. fluid dynamics structural geology flow in porous media enhanced recovery machine learning geologist complex...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 17, 2024
Paper Number: SPE-218429-MS
... alessio saturation infill optimization journal flow in porous media moradi enhanced recovery machine learning bypassed oil identification allocation physics-guided data-driven workflow technology application energy policy Introduction In recent times, the probability of uncovering...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 17, 2024
Paper Number: SPE-218465-MS
... geological subdiscipline slotted liner subsurface bhp machine learning interpretation geological model geological heterogeneity multiplier evolutionary algorithm permeability multiplier transmissibility multiplier facies fogelberg discovery heterogeneity full field integrated study dynamic...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 17, 2024
Paper Number: SPE-218478-MS
... and evaluating the success of CO 2 sequestration. In scenarios where conventional simulations fall short, our model may offer a viable solution. subsurface storage petroleum play type geologist artificial intelligence reservoir characterization machine learning climate change geology co 2 aquifer...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 17, 2024
Paper Number: SPE-218470-MS
... derivative shchipanov transient identification regime pta-feature pta-feature extraction machine learning identification interpretation pta-metric history application indicator kollbotn dataset pta-metric application Introduction Widespread adoption of wellhead and downhole gauges...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 17, 2024
Paper Number: SPE-218462-MS
... core CT scans have been used to propagate the rock type in cored intervals. The resulting rock type curve was then used as a training data set for machine learning algorithms to populate rock types in un-cored intervals. Permeability thickness (kh) from well tests has been used to quality control...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209534-MS
... footprint in gas flooded fields. This study widens our previous machine learning model from advanced mud gas ( Yang et al., 2019 ) developed for predicting in-situ reservoir fluid properties by extending the methodology to include gas flooded reservoirs. The methodology is verified by compositional...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209557-MS
... of SPE copyright. flow in porous media fluid dynamics machine learning history matching artificial intelligence upstream oil & gas reservoir simulation structural uncertainty fault transmissibility multiplier workflow predictive grid producer ensemble realization iteration...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209529-MS
... Interpretation project has used machine learning (ML) to create a tool that interprets cement logs by predicting a predefined set of annular condition codes used in the cement log interpretation process. The development of a cement log interpretation tool speeds up the log interpretation process and enables...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209545-MS
... algorithm sorts and clusters related events/activities basing on the assigned code. To retrieve this experience and apply it on new designs, the algorithm scans the previous reports for codes related to the activity. With machine learning the computer can identify patterns in certain activities or designs...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209573-MS
... posterior distribution machine learning bayesian inference inflow performance information monte carlo bayesian approach petroleum engineer experiment algorithm hamiltonian monte carlo improved estimation target distribution implementation hmc forward model assumption gelman inflow profile...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209560-MS
... contain conspicuous acknowledgment of SPE copyright. artificial intelligence machine learning immunology geoscience concept health & medicine outcrop model buckley excursion field leader virtual outcrop outcrop field course participant reservoir characterization upstream oil...

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