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Keywords: artificial intelligence
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Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0297
... applicability and greatly improves the accuracy of prediction, which is suitable for the pressure prediction of multiple genesis in carbonate rock formation. upstream oil & gas neural network geologist geology mineral artificial intelligence sedimentary rock reservoir geomechanics algorithm...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0230
... the industry an accessible tool for predicting drilling path deviations. Through the integration of artificial intelligence and data science into drilling and geomechanics, our approach not only enhances current operations but also paves the way for potential real-time, automated systems in drilling deviation...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0374
... geologist geology united states government rock type artificial intelligence europe government enhanced recovery clastic rock asia government saudi arabia government upstream oil & gas injection miscible method canada government tier efficiency tracer mbbl machine learning saturation...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0026
... lithology identification asia government saudi arabia government log analysis hyperparameter accuracy artificial intelligence machine learning lithology classifier structural geology algorithm well logging geological subdiscipline dataset lithology classification ls 0 tr 0 ss 0 cv 0 dm 0...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0141
... operation geologist asia government geology directional drilling prediction artificial intelligence geomechanics symposium algorithm machine learning fishbone drilling united states government saudi arabia government application xgboost adaboost fishbone multilateral well productivity...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0033
... the depleted zone affects the propagation of new fractures beyond the depleted area. As a result of this study, higher injection volumes with moderate fracture spacing and shorter time before refracturing resulted in a better performance. geologist fracture equation of state artificial intelligence...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0199
... government fracturing fluid geologist oil shale sedimentary rock geology proppant china government saudi arabia government reservoir geomechanics correlation algorithm mudrock shale gas artificial intelligence mudstone fracture morphology complex reservoir hydraulic fracturing modeling...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0017
... learning (ML) and artificial intelligence (AI) techniques in combination with elastoplastic and finite element method (FEM) approaches. The study involves developing an elastoplastic model to simulate the deformation of geologic materials under stress and incorporating fluid flow equations into the model...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0353
... engineering geological subdiscipline artificial intelligence drillstring design reservoir geomechanics rop accuracy machine learning information zhang coefficient prediction accuracy displacement encoder journal correlation significance petroleum science International Geomechanics...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0263
... reservoir sandstone tight gas artificial intelligence geologist united states government mudrock saudi arabia government well logging oman government composition mudstone geological subdiscipline mineral composition model assisted hydraulic fracture design quartz log analysis reservoir...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0016
... characterization centroid source magnitude rock type artificial intelligence geological subdiscipline hamid 2023 overcome stimulation challenge breakdown permeability International Geomechanics Symposium ARMA-IGS-2023 0016 1D/3D Clustering Techniques of Geomechanical and Reservoir Properties...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0079
... the training data-set for our Neural Network. Once the Neural Network is trained, it will be used to predict formation breakdown pressures for different wellbore orientations. asia government upstream oil & gas geology artificial intelligence saudi arabia government geological subdiscipline...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0051
... algeria government compressional tectonics metamorphic rock quartzite geologist united states government complex reservoir artificial intelligence tectonic fracture hassi messaoud djezzar hamra quartzite hamra quartzite reservoir merzoug reservoir characterization sonatrach-beicip borehole...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0114
... production process. It employs artificial intelligence algorithms to calibrate the wellhead treating pressure using physics-based model, enabling a better understanding of the initial fracturing fracture geometries. The production history match is then conducted based on the initially calibrated hydraulic...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0162
... uncertainty and increasing understanding in pore pressure prediction at elevated temperatures. sedimentary rock geologist asia government geology upstream oil & gas malaysia government mudrock rock type prediction reservoir characterization artificial intelligence mechanism mudstone...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-183
... in focus. fluid dynamics complex reservoir steam-assisted gravity drainage artificial intelligence structural geology flow in porous media reservoir surveillance upstream oil & gas sagd reservoir characterization enhanced recovery production monitoring thermal method coefficient...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-191
..., the estimation of rock strength classification is based on UCS. CCS then will be related to UCS using the equation proposed by Caicedo et al., 2005. upstream oil & gas drilling operation bit design artificial intelligence machine learning neural network calgary bit selection strength...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-184
... logs aided with additional information such as rock types (Chen and Zhang 2020). Additionally, sonic logs also provide information to derive formation porosity, for stratigraphic correlation, and identification of lithologies, facies, fractures and compaction (Glover 2014). artificial...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-109
... parameters and improving drilling efficiency in hard-to-drill formations. structural geology reservoir characterization shaximiao bottom formation wellbore design formation ziliujing formation rop experimental investigation artificial intelligence drillability strength upstream oil...

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