... subdiscipline neural network model optimization intelligent optimization process diameter neuron decision tree bit parameter united states government neural network artificial intelligence machine learning horizontal section requirement drill bit model bit optimization application use effect...

... such as urbanized cities or inaccessible terrains such as natural reserve or lakes. geology artificial intelligence geologist geological model singapore government asia government reservoir characterization machine learning upstream oil & gas europe government borehole reference borehole...

... government artificial intelligence sedimentary rock geology bayesian inference reservoir characterization sandstone clastic rock rock type reservoir geomechanics young secondary property upstream oil & gas wellbore design wellbore integrity geological subdiscipline surrogate model...

... operation asia government pipe neural network lstm neuron classification problem drilling fluid management & disposal drill string different network model deep learning drilling fluids and materials united states government machine learning drilling equipment artificial intelligence...

...., 2022). upstream oil & gas asia government geologist fracture china government hydraulic fracturing geology fracturing fluid artificial intelligence reservoir characterization fracture propagation reservoir geomechanics proppant injection machine learning underground fracture...

... is that the strong nonlinear relations between the ROP and the governing factors are not thoroughly understood (Zhang et al., 2022). geologist asia government machine learning hyperparameter optimization decision tree learning rop geology artificial intelligence upstream oil & gas china...

... and draw rates (See Section 4.1 for detail Wetmuck Classification). upstream oil & gas geology artificial intelligence geological subdiscipline recovery drawpoint reservoir characterization pillar recovery area geologist asia government reservoir geomechanics canada government pillar...

... to the technical team, as discussed by Papathanassiou et al. (2020). geology geologist reservoir geomechanics discontinuity geological subdiscipline brazil government artificial intelligence canada government orientation characterization overhang cloud digital outcrop model rock mass uav...

... united states government proppant reservoir simulation history matching fracturing fluid artificial intelligence reservoir characterization reservoir geomechanics canada government ml model workflow application information model parameter immobilized proppant fracture simulation...

... segmentation can effectively extract the linear features of fractures from the two-dimensional image, thus improving the accuracy of fractures extraction (Gao and Wang, 2010). With the rapid development of artificial intelligence technology, the accuracy of core image segmentation can also be improved...

... wellbore seismic reservoir surveillance production control geomechanics symposium basin packer africa government hydraulic fracturing well logging reservoir characterization sandstone log analysis machine learning anisotropy borehole image artificial intelligence interpretation production...

... sheath (Zheng et al., 2022). upstream oil & gas casing and cementing geologist united states government cement chemistry artificial intelligence asia government wellbore integrity china government geology wellbore design cement formulation reservoir characterization geomechanics...

... system machine learning geology fuzzy logic metals & mining fis grouted rockbolt support type organic-rich rock asia government artificial intelligence intersection international journal mining science coal mining rock type shale lithology fog size excavation intersection adoko...

... method based on zero lateral drilling rate criterion considering the influence of the drilling process. upstream oil & gas drilling operation geology artificial intelligence directional drilling reservoir geomechanics geologist asia government modeling & simulation united states...

... measurements of stope overbreak (Cepuritis et al., 2010), empirical dilution graphs (Potvin, 1988; Clark, 1998; Mawdesley et al., 2001), and artificial intelligence based-design (Korigov et al., 2022). Among these methods, the empirical dilution (ELOS) graph is used in practice due to its simplicity...

..., such as natural fractures, cannot be explicitly and quantitatively characterized in existing wellbore stability prediction models. Artificial intelligence technique has shown unique advantages in nonlinear issues. The artificial intelligence technique is used to predict wellbore stability in this study, including...

... to propose an advanced prediction method of rockmass classification during TBM construction. united states government artificial intelligence operation parameter asia government classifier prediction geology china government classification geologist prediction accuracy algorithm decision...

.... upstream oil & gas geologist united states government artificial intelligence reservoir characterization underground cavern hydropower station damage state different excitation direction seismic wave fragility curve structural geology plate tectonics asia government excitation direction...

... of Volve oil field in North Sea. INTRODUCTION World is gradually moving towards an era of artificial intelligence (AI) where every major sector possibly be supplemented by man-like machines. Machine learning (ML) is a branch of AI which has the ability to predict or forecast outputs, decrease...

... rock deep learning artificial intelligence geological subdiscipline production prediction production index method bp neural network algorithm sand production prediction young sand production index ARMA 23 0650 Sand Production Prediction Based on Deep Learning and BP Neural Network Hongtao...