...) 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...

.... This study addresses these challenges through experimental validation of a developed bit performance index (BPI) model. The BPI model was developed using a reward function, the outcome is either rewarded or penalized. The concept of reward function usually exists in optimization and machine learning models...

... machine learning reservoir characterization lithology classification vibration neural network lithology classification method sandstone algorithm dataset convolution calculation validation classification lithology gravel sandstone baraboshkin hyperparameter characteristic disturbance...

... the implantation of real logs measurements in the non-exploitable area (Saputro et al., 2016; Anifowose et al., 2017, Ala Eddine et al., 2022). To do this, it is necessary to use specific algorithms that can be valid to perform these types of predictions. Several researchers reported that the utilization...

... digital well planning solution enables collaboration, concurrent engineering, automate computation & validation, and big data analytics. The entire solution removes barriers throughout different domains and integrates across domains, from geology and geomechanics to drilling engineering...

.... The present study evaluates a single tunnel with an overburden of 1000 m and an in-situ stress ratio ranging from 0.25 to 3 to prepare a training and validation set. The results show that with an acceptable 0.1% error, the Levenberg-Marquardt Back-Propagation Method (LMBP) of Artificial Neural Network (ANN...

... to solve the problem. To validate the neural network’s approach, a number of wells were hidden, and the trained data was used to predict the S-wave velocities in those wells. The validation correlation shows how well the process will work on a new well that has yet to be drilled. The developed model...

... and pretentious hydraulic fracture propagation in challenging geomechanical conditions, e.g. high ductility/brittleness, anisotropy, leak-off and tectonics. The advanced XFEM hydraulic fracturing model has been tested and validated for single and multistage hydraulic fracturing by comparing with analytical...

... network. With our thermal In recent years, many models were developed for EDFM, the fluid circulation and the reservoir heat transfer geothermal applications. However, most EGS models behavior in a complex fracture network can be efficiently modeled and evaluated. We conducted the thermal For validation...

... field test seismic wave characteristic spot 1 validation mechanics cumulative damage construction propagation rock mass tunnel 1. INTRODUCTION The Drilling and blasting method using conventional explosives remains the main technique in underground and rock excavation projects...

.... The validation was carried by comparison with analytical solution and experiment results. Then, fracturing performance of different capillary force were analyzed. The simulation results show that capillary force has significant impact on fracture geometry. This paper presents a flow model and a solid model...

... a comparison case study of two DFN modelling methodologies using (1) Geostatistical interpolation of lineal (1-D) fracture intensity (P 10 ) using Ordinary Kriging (OK) and, (2) Random Distribution (RD) of P 10 . Four validation criteria were established to calibrate and provide quality assurance for the DFN...

... compressive strength (UCS). The data were divided into three sets; training, validation, and testing datasets. 70% of the data used for training, 15% for validation, and the rest for testing. The optimum number of hidden layers and the number of neurons in the hidden layer were obtained using trial and error...

... a correlation for static Poisson s ratio with ultrasonic longitudinal and shear wave velocities valid only for isotropic material using non-linear regression technique. They also observed that Poisson s ratio increased with the decrease of ultrasonic velocities. However, Al-Anazi and Gates, (2010) used Support...

...) of ANN demonstrated that the ANN is more precise than regression analysis. An empirical model with high performance using ANN has been also developed to estimate from measurable well logs. Comparison of the developed models with the literature is then presented. The validity of the proposed models...

... and how it leads to changes in rock mechanical properties. Pore-scale modeling by means of the Discrete Element Method (DEM) is used to perform the numerical simulations. The model is verified against the analytical Cavity Expansion Model (CEM) and validated against an experimental indentation test...

... Abstract The validation of numerical models of geomechanical processes relies on physical testing of these processes in a laboratory setting. However, due to their heterogeneous nature, test specimens of natural materials often show a wide range of geomechanical properties. In the last decade...

... complex reservoir hydraulic fracturing Simulation joint segment Slope Model Upstream Oil & Gas fracture toughness stability flexural validation inclination effective stress calculation strength crack length geometry rock mass tensile strength rock slope lattice approach...

..., efficient processing of large volumes of data, and incorporating dynamically defined boundary conditions. stress intensity factor numerical simulation hydraulic fracturing standard 8-core pc experiment application boundary validation interaction Upstream Oil & Gas fracture Scenario...

... neural network compare with real results and their correlation has been validated. The results show that the proposed ANN methods could be applied as a new acceptable method for the prediction of UCS. By developing neural networks approaches with these input parameters, UCS can be determined in well...