... characterization engineering geological subdiscipline dataset diameter reservoir geomechanics coefficient preliminary blast fragmentation modeling geologist artificial intelligence machine learning university predictor prediction application lexington statistic information mining engineering...

... and optimize the design of multi cluster fracturing schemes, it is urgently necessary to establish an efficient simulation method for multi fracture propagation coupled with wellbore perforation fracture (Chen et al, 2022, 2022). fracture artificial intelligence geology hydraulic fracturing...

... based on monitoring data of TBM operation using back analysis methods. Farrokh et al. (2010) investigated the influence of ground conditions on machine performance based on information obtained from the Ghomroud tunnel, which is 36 km in length. geologist rock type artificial intelligence...

... substantiated the notion that side cracks occur during unloading. wellbore design neural network geology indentation artificial intelligence rock type geologist mineral bit selection reservoir geomechanics granite rock mechanic fragment fragmentation stiffness reservoir characterization...

... geology mudrock rock type shale oil artificial intelligence machine learning adsorption engineering methane adsorption lower silurian longmaxi shale shale ga reservoir mineral sichuan basin pore structure characteristic macropore adsorption experiment ARMA 24 57 Hydration Impact on Pore...

... change ino fluid dynamics neural network reservoir characterization modeling knowledge geologist subsurface storage machine learning scenario application geology artificial intelligence geological subdiscipline dataset kadeethum journal albuquerque yoon sandia national laboratory...

... geologist artificial intelligence machine learning consumption experiment engineering wang geology accuracy cutter operation international journal colorado school golden rock type reservoir characterization journal classification algorithm information evan reservoir geomechanics...

.... geologist artificial intelligence machine learning microseismic event matrix decatur project geology data quality geological subdiscipline spectrogram co 2 sandia national laboratory fingerprint reservoir geomechanics waveform hidden markov model application wavelet transform k-means...

... fracturing geologist optimization problem reservoir characterization dfn modeling hornelen basin intersection characteristic exponent case 1 nucleation geology artificial intelligence conditioning orientation coefficient connectivity american rock mechanic association stochastic dfn ARMA...

... ABSTRACT: The study tackles operational challenges in shield tunnel maintenance, focusing on multi-source date fusion and decision-making suggestion. Employing a multi-disciplinary approach spanning civil engineering, artificial intelligence, and engineering management, the study establishes...

... drillpipe and cuttings bed during horizontal well drilling becomes to a key problem. geologist drilling fluids and materials geological subdiscipline viscosity drilling operation artificial intelligence friction geology drillpipe friction coefficient friction resistance petroleum beijing...

... of lithology in geological formations is of vital significance for deep coalbed fracturing design and favorable area prediction for reservoir formation. structural geology organic-rich rock algorithm rock type reservoir characterization log analysis sedimentary rock deep learning artificial...

... and time compared to traditional surveying (Slob et al., 2005). detection geological subdiscipline artificial intelligence machine learning geologist reservoir geomechanics rock mechanic cloud engineering ai-powered semi-automated trace detection technique model mehrishal limitation...

... assemblies (BHAs), motorized BHAs have received comparatively less attention. Addressing this gap, our study introduces a pioneering artificial intelligence (AI) model powered by artificial neural networks (ANN) to forecast ROP for motorized BHAs. By integrating surface drilling parameters, mud...

... operation. A rotary table type rig can only drill 30-foot sections of drill pipe whereas a top drive can drill 60–90-foot stands, depending on the drilling rig size (Mahmud, and Elmabrouk, 2016). geology machine learning geologist artificial intelligence bearing reservoir geomechanics thrust...

... behaviour, ii) data from sensors installed within the construction site and uses genetic algorithms as the optimization technique to minimize the objective function (de Santos, 2015). rock type artificial intelligence geomechanics geologist prediction geological subdiscipline geology reservoir...

... (POOH) using reservoir section logging tools. Although GR measurements are very helpful, they are seldom recorded in the top section. This study utilizes artificial intelligence (AI) techniques—specifically artificial neural network (ANN) and adaptive neurofuzzy inference system (ANFIS)—to predict real...

... geologist salt tectonics reservoir geomechanics porosity subset structural geology rock type artificial intelligence machine learning reservoir characterization artificial neural network microbial limestone literature compressive strength correlation coefficient pre-salt reservoir dataset...

... correlation coefficient mineralogy application mudstone algorithm machine learning algorithm bakken formation complex reservoir artificial intelligence reservoir characterization prediction random forest regression clastic rock mudrock well logging machine learning fraction sonnenberg...

.... (2008) explore the modeling of bit wear during drilling operations and real-time prediction by combining rock energy and drilling strength concepts. geology geologist drilling operation artificial intelligence machine learning learning-based drill bit wear prediction bit design reservoir...