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Keywords: machine learning
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Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220725-MS
... recovery, geothermal energy or carbon storage. deep learning information management prediction predictor exhibition wellbore design expert system data mining paper symptom geologist drilling operation artificial intelligence machine learning conference drilling conference geology...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220798-MS
... category implementation classification real-time support artificial intelligence machine learning operator llm large language model probability revolutionizing drilling operation control room unstructured data application well construction control room data source real time ai model...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220754-MS
... impactful for real-world applications where project timelines are tightly constrained. deep learning machine learning geologist artificial intelligence gradient geology optimization application architecture interaction vector evaluation neural network algorithm accuracy reservoir...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220822-MS
... geologist wellbore design artificial intelligence wellbore integrity machine learning geological subdiscipline reservoir geomechanics data-driven model drilling operation reservoir characterization drillstring packoff simulation realtime caving prediction workflow penetration horizontal stress...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220857-MS
... deep learning machine learning artificial intelligence architecture transformer prediction dataset efficiency multi-scale learning segmentation mask semantic segmentation task smoke detection smoke mask segmentation conference flare smoke detection smoke region relu-based linear...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220906-MS
... distributions around boreholes in 2D grid. Step 2: Realizing the need to model the stresses at the wellbore wall only for most wellbore stability applications, we provide modifications to DL-ROM framework to handle 1D stress vectors at the wellbore wall. Step 3: We then perform a Machine Learning based study...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220847-MS
.... dataset geologist rock type neural network carbonate rock sedimentology sedimentary rock deep learning artificial intelligence machine learning depositional environment synthetic seismogram application information noise correlation coefficient synthetic dataset realization inversion...
Proceedings Papers
Musa E. M Ahmed, Deniz M. Paker, Abdulrahman Abdulwarith, Birol Dindoruk, Stephen Drylie, Sandarbh Gautam
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220974-MS
... experimental and machine learning (ML) approaches to assess the effects of CO 2 storage on CO 2 -brine relative permeability in Berea sandstone. We conducted a 30-day CO 2 storage experiment under reservoir conditions (1500 psi and 150°F), analyzing rock and fluid properties before and after storage...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220752-MS
..., and gas processing. However, with limited experimental data, intrinsic trends of gas solubility under varying conditions (pressure/ temperature/brine composition) are difficult to obtain. This study uses machine-learning-based approach to explore those intrinsic trends while identifying the contributing...
Proceedings Papers
Maria Angela Capello, C. Susan Howes, Peter Kirkham, Amanda Calleberg, Neeraj Nandurdikar, Gautam Swami
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220719-MS
... subdiscipline social responsibility howe artificial intelligence machine learning benchmarking assessment air emission performance indicator project management climate change energy economics practitioner management risk management society oil company evolution presented oil and ga industry...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220745-MS
... analysis drilling fluids and materials artificial intelligence cleanup machine learning contamination prediction prediction filtrate contamination endpoint table 1 numerical simulation probe 1 drilling fluid property well logging real time system inversion radial probe workflow regime...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220771-MS
... physics and domain expertise into the modeling process. To address the challenges mentioned above, a Bayesian machine learning framework has been adopted as the foundation of our physics-based uncertainty workflow, which allows to incorporate prior information from domain knowledge and fundamental...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220716-MS
... the University of Houston's resources, encompassing professors’ video and audio lectures, published papers, exams, academic texts, and research projects. It processes this data through a sophisticated machine-learning pipeline to assess various embedding models and test different data chunk sizes. The goal...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220877-MS
... , T. and Hemmati-Sarapardeh , A. , " Modeling of methane adsorption capacity in shale gas formations using white-box supervised machine learning techniques ." Journal of Petroleum Science and Engineering , 208 , p. 109226 ( 2022 ). Alarji , H. , Alzahid , Y. and Regenauer...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220921-MS
.... machine learning classification neural network triplet artificial intelligence cnn classifier dataset inspection workflow vector nearest neighbor accuracy similarity damage classification gas equipment component validation backbone Introduction Oil and gas companies across the globe...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220833-MS
... deep learning machine learning rag hallucination dataset preliminary research retrieval-augmented generation beijing petroleum exploration artificial intelligence fine-tuning corpora similarity median accuracy question-answer pair oil and ga industry accuracy external knowledge base...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220840-MS
... intelligence neural network reservoir surveillance log analysis drilling data acquisition production control machine learning production monitoring classification geologist lwd well logging drilling measurement acquisition boundary optimizing image logging acquisition section lwd image log...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220917-MS
... Abstract Reduced-order models, also known as proxy model or surrogate model, are approximate models that are less computational expensive as opposed to fully descriptive models. With the integration of machine learning, these models have garnered increasing research interests recently. However...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220838-MS
... learning flow in porous media reservoir simulation artificial intelligence neural network scaling method geology rock type machine learning upscaling pcu-dl module accuracy architecture physics-constrained upscaling permeability value reservoir characterization pore segmentation equation...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220898-MS
... shows a field application of machine learning (ML) algorithms using triple combo logs to predict elastic properties and finally estimate in-situ stress profile in the Natural Buttes gas field. We used a complete set of triple combo and dipole sonic logs to train K-Nearest Neighbors (KNN) regression...
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