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Keywords: input parameter
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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 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1025
... network machine learning proppant neural network model prediction petroleum science wall effect shape parameter sphericity input parameter hydraulic fracturing diameter test data settling velocity upstream oil & gas relative importance non-spherical particle ann model fracture...
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-2021-1250
... ABSTRACT: Bonded Block Models (BBMs) have become increasingly used to simulate laboratory rock samples in Unconfined Compressive Strength (UCS) and Triaxial tests. BBMs require input parameters that describe the deformation of the blocks themselves (block properties), as well...
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 53rd U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2019
Paper Number: ARMA-2019-0066
... framework to deviated wells, including the risk of creating tortuous fractures. Upstream Oil & Gas deviation Reservoir Characterization uncertainty space input parameter Artificial Intelligence severity pressure measurement reservoir geomechanics pore pressure assessment station 3...
Proceedings Papers

Paper presented at the 53rd U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2019
Paper Number: ARMA-2019-1579
... effective stress Reservoir Characterization uniaxial stress ratio Nikolinakou application stress-level dependency stress level Upstream Oil & Gas formulation input parameter sediment mean effective stress friction angle plastic strain sediment stress-level dependency 1. INTRODUCTION...
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 53rd U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2019
Paper Number: ARMA-2019-0518
... pressure input parameter hoop stress field condition equation application fracture tensile strength borehole diameter uniform distribution ARMA 19-518 Revisiting classical wellbore tensile failure models with size effects Romain Prioul and Thomas Bérard Schlumberger-Doll Research center...
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 52nd U.S. Rock Mechanics/Geomechanics Symposium, June 17–20, 2018
Paper Number: ARMA-2018-1079
... and memory utilization without a loss of accuracy. hydraulic fracturing fracture length fracture height fracture aperture input parameter correction factor nonuniform height stress correction factor single fracture analytical solution layered formation Upstream Oil & Gas accuracy...
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 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...
Proceedings Papers

Paper presented at the 51st U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2017
Paper Number: ARMA-2017-0771
... will help engineers to estimate a continuous profile of the static Poisson’s ratio and hence reduce the overall cost of the well. machine learning well logging reservoir geomechanics neural network Reservoir Characterization Artificial Intelligence log analysis input parameter coefficient...
Proceedings Papers

Paper presented at the 51st U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2017
Paper Number: ARMA-2017-0932
... ABSTRACT: Probability theory has been increasingly applied to address the uncertainty of geomechanical parameters for prediction of allowable drilling mud weight. When conducting wellbore stability analysis, input parameters are estimated from well log data and empirical correlations...
Proceedings Papers

Paper presented at the 51st U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2017
Paper Number: ARMA-2017-0047
... Intelligence parameter identification measurement Point Response Surface Methodology back analysis method parameter estimation Efficiency iteration rock mass international journal algorithm different location ground transportation back analysis input parameter application exact solution 1...
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 slippage input parameter coefficient rockfall energy ratio three-dimensional numerical model incoming angle slope...
Proceedings Papers

Paper presented at the 51st U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2017
Paper Number: ARMA-2017-0428
... Artificial Intelligence correlation strength empirical correlation prediction unconfined compressive strength core sample log analysis Upstream Oil & Gas input parameter p-wave travel new correlation society of petroleum engineers carbonate reservoir s-wave velocity bulk density 1...
Proceedings Papers

Paper presented at the 51st U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2017
Paper Number: ARMA-2017-0301
... Characterization Artificial Intelligence input parameter prediction travel time well logging empirical model correlation wave travel time ANN model continuous profile rock mechanical parameter neural network log data empirical correlation static poisson compressional wave travel time log analysis...
Proceedings Papers

Paper presented at the 50th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2016
Paper Number: ARMA-2016-088
... the most recent investigations, in a clear, unambiguous and efficient manner. To achieve this objective, the scheme had to be sufficiently simple that it could be applied to historical boreholes. This paper describes the process of selecting the input parameters for the classification scheme; the pilot...

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