..., there is no specific straightforward correlation that could be utilized to accurately determine shear wave travel times based on well log data. The primary objective of this study is to predict shear wave velocity logs from conventional wire-line logs at the Wellington oil field in south central Kansas. This leads...

... prediction model geology neural network artificial intelligence log analysis geological subdiscipline algorithm correlation beijing penetration abnormal data accuracy china university characteristic intelligent prediction method horizontal well rop interpolation method di-gru model ARMA...

... prediction model saudi arabia government log analysis machine learning shear wave velocity geologist asia government artificial intelligence reservoir geomechanics correlation coefficient log data predict shear wave velocity shale formation neural network data-driven intelligent approach...

... unavailable and can be costly to measure. Alternative to direct measurements, estimating elastic modulus is more effective if the roles of secondary properties, such as geological, hydrological, and petrophysical properties, can be quantified. Previous studies often evaluate the correlation between primary...

...) algorithms are proposed respectively to predict ROP. The features that include both the engineering and formation parameters are selected as the model inputs by combining physical drilling laws and correlation analysis. The optimal hyperparameter combinations of the model are found by cross-validation...

... ABSTRACT The purpose of this study was to investigate the applicability of the digital image correlation method, which uses image processing to obtain areal strain distributions, for the observation of rock fractures. In the results of the Brazilian tensile test, the strain increase process...

... ABSTRACT Laboratory testing of rocks and developing their interrelationships is a good way for assessment of rock behavior for mining and construction industries. A detailed testing program was envisaged to establish possible correlations between porosity and mechanical properties...

... characterization machine learning approach 1 rfr model computational time algorithm gridsearchcv prediction correlation performance variation ml algorithm forest regression ARMA 23 0660 Effects of Tuning Hyperparameters in Random Forest Regression on Reservoir s Porosity Prediction. Case Study: Volve...

... of adjacent wells offer an opportunity to correlate laboratory results with borehole logging data to estimate rock properties and identify high-risk drilling horizons. In this work, 196 cylindrical drill cores with an average diameter of 89.25 mm from the depth between 35 m and 396 m were prepared...

... correlation direct shear test fsat ARMA 23 0706 Fracture surface alteration examined by surface analysis of carbonate samples tested under direct shear Gallas, J., Duda, M., Backers, T. Ruhr University, Bochum, North Rhine-Westphalia, Germany Copyright 2023 ARMA, American Rock Mechanics Association...

... of previous laboratory experiments and field logging data, the correlation between shale content, density, porosity, effective stress and p-wave velocity was analyzed. The function form of each factor term was optimized, and a new p-wave velocity model was established by using multivariate nonlinear...

... rules of the characteristics. Based on the standard LSTM model, the feature and temporal hybrid attention mechanism is proposed to dynamically capture the potential correlation between the risk of lost circulation and the input features. By obtaining the rank importance from both features and temporal...

... pressure rock type reservoir geomechanics geological subdiscipline ann 4 10 horizontal stress zoback wellbore design wellbore integrity machine learning drilling fluids and materials prediction ann 6 10 dataset predict pore pressure reservoir characterization drilling parameter correlation...

... of determination of the predicted fracture pressure were 0.304 MPa, 0.176 MPa, 0.209%, and 0.990, respectively. It is concluded that the LSTM model can effectively capture the variation trend of logging parameters with depth and the correlation information of logging parameters, which can realize the accurate...

.... Our recent investigations discovered the phenomena of magnitude clustering escalation and the unexpected correlation of focal mechanism for the event pairs through the network connections. We inspect the alternative network of high-order connections to formalize the rejection of uncertainty influence...

... instability correlation coefficient fluid factor wellbore integrity wellbore stability prediction accuracy neural network independent variable reservoir geomechanics geological subdiscipline well diameter expansion rate coefficient expansion rate objective function kernel function correlation...

... geomechanics geological subdiscipline sedimentary rock structural geology neural network artificial intelligence wave velocity marginal contribution shear wave velocity shale content compressional wave velocity oil saturation correlation coefficient asia government china government log analysis...

... techniques were used to obtain digital data on pore space and pore-throat connections of downhole cores. Through statistical regression analysis, a modified correlation between the pressure pulse decay method and the pressure transmission method is proposed. The proposed experimental and regression methods...

... with the expected responses of the numerical FEM models, reaching a coefficient of correlation of R 2 = 0.989, a mean absolute error equal to 2,428 meters, and a mean absolute percentual error of 4,2%. INTRODUCTION The study of geological faults present in reservoirs is essential in the petroleum engineering...

... from the digitalization of high-resolution unrolled 360-core photographs at the reservoir level. The results have been correlated with rock type, grain size, and fracture dip angle. Fracture roughness is ranging between 5 (low) to 19 (high) on the JRC scale and can be predicted from analysis...