... particle packing. geology reservoir characterization university specimen simulation mineral geological subdiscipline variance experiment coefficient variability unconfined compression influence johnston statistic engineering particle random packing geologist reservoir geomechanics...

... variance university association discrepancy ARMA 24 0661 Investigation on the spatial variation in fracture orientation and its impact on hydraulic behavior of rock mass Choi, J. and Kim, J. Department of Energy Resources Engineering, Seoul National University, Seoul, Republic of Korea Song, J.-J...

... that window geometry and fracture characteristics should be considered when conducting window surveys to acquire fracture data with reduced variance. INTRODUCTION Fracture characterization is an essential prerequisite for the analysis of rock mass behavior in both mechanical and hydraulic aspects...

... the rock fracture from the artificial notch, as well as the following rock fracture propagation processes. The analysis consists of the spatial-sequential feature, and the topological triggering-triggered feature of the energy releases from the rock fracture process, as well as the change of data variance...

... and variance from horizontally level fracture alignment, among other features. Understanding of these variances’ impacts on proppant flow and transport is essential for accurately predicting proppant behavior and improving design projects. This research uses Discrete Element Method coupled with computational...

... to evaluate subsidence above historic, abandoned coal mines where surficial evidence is not definitive. coal bed methane Upstream Oil & Gas coal seam gas Baseline Survey strang coalbed methane Fluid Dynamics variance node variance red lodge environmental quality pioneer technical service...

... regression (GPR) is proposed to consider the uncertainty. GPR is a nonparametric probabilistic modeling approach. And the parameter determined from given data sets obeys Gaussian distribution. The capability of GPR for estimating s 1 from given s 2 and s 3 is examined. Variance and 95 percent confidence...

... with suggestions for allocation of resources to different types of laboratory testing. 1. INTRODUCTION machine learning Upstream Oil & Gas reservoir geomechanics variance Reservoir Characterization strength indirect tensile Artificial Intelligence criterion uniaxial strength data...

... Abstract: This paper presents a methodology to predict the fracture intensity and to measure the uncertainty associated with it, which could be expressed in terms of variance or probability intervals conditioned to the information of the fractures observed on boreholes. The methodology...

... within a geomechanical simulation model of the Ok Tedi mine site in Papua New Guinea. Simulations demonstrate the importance of understanding the scale dependent characteristics of sample variance and the effects of spatial heterogeneity on both the critical SRF and projected failure size. metals...

... of uncertainty in predicting HPP performance and clearly identify the fundamental parameters that control HPP conductivity. fracturing materials Upstream Oil & Gas variance geometry hydraulic fracturing statistical analysis injector closure stress conductivity pillar proppant aperture...

... & Gas fluid modeling equation of state machine learning complex reservoir orientation variance fracture network Geothermal System ezzedine Sequestration principal direction boundary condition characterization conductivity tensor fracture variability Underestimation hydraulic fracturing...

... methods. Statistical distributions describing the factor of safety (FS) of a trial slope are generated. For reference, purely random Gaussian fields with increasing variance are examined first. Kriging and other spatial interpolation methods are then introduced using subdomains of the random field...

... different natural stones collected from different parts of Turkey. In the scope of this system, Analysis of Variance: Nested Sampling (Optional) method was used as the statistical system. Natural stones were classified into five different groups on the basis of porosity change. These natural stones were...

... management Monte Carlo simulation point estimate method proceedings probability PEM total displacement Standard Deviation information Monte Carlo method safety Simulation variance finite element method probabilistic analysis ARMA 09-149 Probabilistic Slope Analysis with the Finite Element...

... geomechanics wellbore integrity Wellbore Design structural geology Upstream Oil & Gas strength scale effect platen Rock mechanics variance variability rock strength ball bearing bedding determination rock type significant difference rock deformation parameter Point Load Testing...

... changes cannot be represented by any workable function (Matheron 1970). geologic modeling geological modeling Reservoir Characterization metals & mining Upstream Oil & Gas individual seam coal calculation variance seam strata mechanics research institute experimental variogram...

... vibration data can be captured by the variogram function. geologic modeling geological modeling machine learning Reservoir Characterization Artificial Intelligence Upstream Oil & Gas frequency blast vibration analysis Vibration data indicator variogram variance ground motion...

.... Point estimates can be obtained either for the peak strength or for the residual strength, depending on one's interest. Researchers have used linear regression with constant variance in obtaining point estimates for (c,t) (Pender, 1980; Hester, 1982; and Lisle and Strom, 1982). If the residuals...

... but underestimate the variance. Algorithm modifications to account for processes known to occur in the comminution zone near the blast hole significantly improve the match in the fine coal size range. The match suggests that spacing of fractures, rather than fracture length, controls the formation of fine...