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Keywords: prediction
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Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0297
... upstream oil & gas neural network geologist geology mineral artificial intelligence sedimentary rock reservoir geomechanics algorithm china government clastic rock complex reservoir prediction saudi arabia government machine learning log analysis geological subdiscipline...
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-2023-0003
... this issue, a novel geomechanics workflow and some criteria are presented that can be used to select the right fracturing method for wells landed in deep and tight reservoirs. The key components of the novel geomechanics workflow will be briefly introduced, such as natural fractures prediction, a framework...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0414
... Abstract How to predict the initiation and extension of thermally induced fractures (TIF) and evaluate their impact on CO 2 injection in depleted reservoirs has become a critical concern in the CO 2 storage projects. To address this question, it is imperative to carry out thermo-hydro...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0141
... well productivity prediction by leveraging a suite of machine learning algorithms, including RandomForest, GradientBoost, LinearSVC, AdaBoost, and KNeighbors. Through extensive model evaluation metrics such as MSE, RMSE, MAE, and the R-squared score, the study offers insights into the relative...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0325
... magnitude sedimentary rock geology borehole canada government deformation mpa pressuremeter hold test interpretation application pressuremeter probe prediction Abstract In-situ stress is considered a key geomechanical parameter in the designs of subsurface engineering projects. Hydraulic...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0096
... & mining geological subdiscipline geology reservoir geomechanics fragmentation waveform vibration monitoring highwall blasthole contribution optimization mbf modeling figure 6 prediction ppv modeling diameter information geophone integration accelerometer blasthole diameter...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0199
... the potential to integrate multi-source data and enhance calculation efficiency, thus enable to be critically useful in fracture morphology prediction. This paper aims to create a ML-based surrogate model for quick fracture morphology prediction. The approach involves the numerical simulation of hydraulic...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0353
... Abstract Machine learning models have made significant strides in efficiently and accurately predicting rate of penetration (ROP) recently. Traditional machine learning models primarily rely on time-series parameters like the weight on bit, et al. while often overlooking non time-series...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0162
... in pore pressure prediction. Analyses conducted are interpreted together with petrophysical, stress and pressure plots such as depth-based velocity-density, porosity-effective vertical stress, field data (formation and temperature) and observations (stress and pressure measurements). The results show...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-003
... exploration challenges. This integrated approach will incorporate all available data to construct 3D geomechanical static models to assess and characterize the reservoir properties. These properties include reservoir quality index, sweet spot, reservoir compartmentalization, pore pressure prediction, in-situ...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-184
...International Geomechanics Symposium IGS-2022-184 Well Log Prediction Using Deep Sequence Learning Weichang Li1* and Lei Fu1 Aramco Americas, Houston Research Center, Houston, Texas, United States Murtadha J. AlTammar2 Saudi Aramco, Dhahran, Kingdom of Saudi Arabia Copyright 2022 ARMA, American...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-033
... casted precisely to the given shape and dimensions. Conducted lab experiments confirmed the theoretically predicted superiority of notches over holes in reducing fracturing pressure. Introduction In certain geomechanical settings of today’s increasingly complex tight reservoirs, initiating hydraulic...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-077
...International Geomechanics Symposium IGS-2022-77 Prediction of Borehole Caliper Log Using Machine Learning for Multi-Stage Frac Completions Murtadha J. AlTammar, Khaqan Khan, Rima T. Alfaraj, Mohammad H. Altwaijri, Khalid M. Alruwaili & Misfer J. Almarri Saudi Aramco, Dhahran, Kingdom of Saudi...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-164
... of where and by whom the paper was presented. ABSTRACT: Real-time estimation of the formation pressure can enhance the drilling operations in terms of non-productive time, costs, and safety. In the literature, the known methods for formation gradient prediction are derived from logging or a combination...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-157
... consumption, it can supply its energy demands for the next 100 years. reservoir characterization prediction upstream oil & gas vaca muerta shale argentino vernik argentina basin estimation buenos aire correlation important unconventional argentinian play stiffness bower reservoir...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-048
... calculation shows how an incomplete or poorly interpreted dataset may be misleading, thereby highlighting the inherent uncertainties and difficulties associated with borehole stability modelling. wellbore integrity mohr-coulomb orientation borehole wellbore design criteria plane prediction...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-025
... mineral lithologies. Therefore, we propose third-order Padé-type thermoelastic constants derived by the approximation of Padérational function to the total strain energy. The Padéthermoelastic constants are characteristics of a reasonable theoretical prediction for acoustic velocities of solid rocks even...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-165
.... This feature is important in highly urbanized areas where usable land is scarce and acquiring land can put high financial pressure on available budgets. Tunnelling uncertainty is the main contributor to cost overruns which are mainly due to geological uncertainity. Therefore, accurate prediction of geological...
Proceedings Papers

Paper presented at the International Geomechanics Symposium, November 7–10, 2022
Paper Number: ARMA-IGS-2022-118
... control methods are generally used to reduce sand during the first stage of production when the sanding rate is low, as this latter gradually increase, active sand control will be required. algorithm machine learning upstream oil & gas sand control prediction completion installation...

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