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Keywords: input parameter
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Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0451
... range of values is of paramount importance. In this paper, a probabilistic approach incorporating distributions for input parameters and ten empirical relationships was used to determine a range of anticipated foundation rock mass modulus values for a proposed spillway, thereby allowing for a range...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0720
... canada government pore pressure realization probabilistic approach monte carlo simulation input parameter unconventional resource rock planar discontinuity injection horizontal stress magnitude geological subdiscipline application prediction workflow ARMA 23 0720 Probabilistic Stress...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0860
... data predict shear wave velocity data-driven intelligent approach gradient ann model output variable input parameter ARMA 23 860 A Data-driven Intelligent Approach to Predict Shear Wave Velocity in Shale Formations Ayyaz Mustafa Civil and Environmental Engineering Department, University...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1025
... network neural network model prediction hydraulic fracturing upstream oil & gas relative importance non-spherical particle ann model petroleum science fracture wall effect engineering particle input variable neuron machine learning proppant sphericity input parameter diameter...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1243
... stochastic hydro-thermal simulations and neural network development. A generic reservoir with a doublet system is used for the numerical simulations with Monte Carlo sampling of input parameters from the uniform distributions of formation properties and operations. The simulation results are used to extract...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1806
... seismicity, whereby the three principal mechanisms for induced-seismicity triggering are accounted for, and uncertainties in input parameters are addressed stochastically to provide a probabilistic assessment of induced-seismicity hazard. The models provide probabilities for the expected maximum magnitudes...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-2108
.... The benefits of this approach include: rapid calculation, easy to understand results, scalable resolution for the analysis and the ability to handle uncertainty in the ranges and distributions of the input parameters. Results will be presented for the Cooper Basin in South Australia as analyzed in the GBA...
Proceedings Papers

Paper presented at the 53rd U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2019
Paper Number: ARMA-2019-0066
... Characterization principal stress direction confidence interval uncertainty space gradient input parameter formation stress test configuration bérard ARMA 19 66 Leveraging return of experience to improve the success rate of formation stress tests: A case study in the Gulf of Mexico Bérard, T...
Proceedings Papers

Paper presented at the 53rd U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2019
Paper Number: ARMA-2019-0518
... was negligible. For laboratory conditions, size effects can be very significant. 1 Introduction Reservoir Characterization size effect Lecampion hydraulic fracturing pore pressure hoop stress reservoir geomechanics approximation input parameter borehole diameter Upstream Oil & Gas...
Proceedings Papers

Paper presented at the 53rd U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2019
Paper Number: ARMA-2019-1579
... basin surface and the next predefined horizon (Fig. 6, inset). We model the salt as a solid visco-plastic material using a reduced form of the Munson and Dawson formulation (Munson and Dawson, 1979). The formulation has a number of input parameters (Table 1), that are calibrated according to Fredrich et...
Proceedings Papers

Paper presented at the 53rd U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2019
Paper Number: ARMA-2019-1791
... data is available. In this study, we assessed the use of a clustering algorithm, namely self-organizing maps, for classification of different lithological classes of limestone. The input parameters are geo-mechanical and geological properties of limestones such as density, uniaxial compressive strength...
Proceedings Papers

Paper presented at the 52nd U.S. Rock Mechanics/Geomechanics Symposium, June 17–20, 2018
Paper Number: ARMA-2018-052
.... To account for the uncertainty in the model input parameters, they are modeled as random variables. To this end, input parameters are divided into two classes of random variables: tensor-valued and scalar random variables and their corresponding statistical description is constructed by employing Maximum...
Proceedings Papers

Paper presented at the 52nd U.S. Rock Mechanics/Geomechanics Symposium, June 17–20, 2018
Paper Number: ARMA-2018-1079
... solution layered formation fracture aperture input parameter correction factor nonuniform height ARMA 18 1079 Modeling Fracture in Layered Formations Using a Simplified 3D Displacement Discontinuity Method Tianyu Li, Omid Razavi, Jon E. Olson Hildebrand Department of Petroleum and Geosystems...
Proceedings Papers

Paper presented at the 52nd U.S. Rock Mechanics/Geomechanics Symposium, June 17–20, 2018
Paper Number: ARMA-2018-876
..., but numerical micromechanical input parameters can interchangeably be used in twodimensional (2D) and 3D models, given they are the same element size, to produce similar emergent macroscopic properties. In 3D simulations, the real-world loading conditions can be completely replicated, thus leading...
Proceedings Papers

Paper presented at the 51st U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2017
Paper Number: ARMA-2017-0047
... ground transportation back analysis input parameter rail transportation accuracy Efficiency iteration rock mass parameter identification application exact solution algorithm different location measurement Point Response Surface Methodology back analysis method parameter estimation ARMA...
Proceedings Papers

Paper presented at the 51st U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2017
Paper Number: ARMA-2017-0301
... machine learning Artificial Intelligence log analysis Upstream Oil & Gas well logging log data empirical correlation static poisson compressional wave travel time shear wave travel time input parameter coefficient correlation estimation bulk density wave travel time prediction ANN...
Proceedings Papers

Paper presented at the 51st U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2017
Paper Number: ARMA-2017-0213
... the contact model. This model applies to rockfall simulation to delimit the area where possible falling rock may exist. Upstream Oil & Gas restitution proceedings Nishimura reservoir simulation Frictional Resistance numerical simulation procedure slippage input parameter coefficient...
Proceedings Papers

Paper presented at the 51st U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2017
Paper Number: ARMA-2017-0744
... nonlinear correlation among the input parameters via the interaction matrices while ANN is implemented to objectively assign weights to the input parameters of the GBI. Fall of ground (FoG) of rock mass surrounding the excavation comprising gravity induced structurally controlled, block movement and stress...

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