... ABSTRACT: Reservoir permeability is a critical parameter for the evaluation of hydrocarbon reservoirs. It is often measured in the laboratory from reservoir core samples or evaluated from well test data. The prediction of reservoir rock permeability utilizing well log and seismic data...

.... upstream oil & gas hydraulic fracturing well logging machine learning artificial intelligence reservoir characterization coefficient reservoir geomechanics completion installation and operations propagation cuttings correlation perforation abrasion permeability poisson relationship...

... that they could take advantage of the data more efficiently. The application of artificial intelligence (AI) and specifically machine learning (ML) along with big data analytics have known an enormous surge. deep learning well logging outlier equation dataset algorithm reservoir characterization...

...). upstream oil & gas hydraulic fracturing united states government north america government reservoir geomechanics reservoir characterization porosity sanford underground research facility complex reservoir log analysis orientation fracture well logging borehole experiment 2 schwering...

... and optimization, and this need an accurate integration of natural fractures in the near-wellbore regions to improve the inter-well fracture prediction by involving and combining various advanced well logging technics such as, high-resolution image logs and sonic scanner (Rezig et al., 2018). fracture...

... ABSTRACT: A majority of well logs contain basic petrophysical and lithological values which usually include density, porosity, resistivity, gamma-ray, and customarily, the caliper measurement of borehole diameter to provide an indication of borehole and log quality. Acoustic log acquisition...

... bed prior to the experiment initiation. log analysis conductivity level upstream oil & gas well logging susceptibility borehole resistivity concentration televiewer roggenthen eg collab test bed 1 johnson experiment fracture fabric wireline resistivity electrical...

... ABSTRACT: Accurate shear wave velocity (Vs) is essential for determining reservoir rock mechanical parameters and pore structure of tight oil, whereas it is usually not measured in well logging due to high costs. The simple conversion of compressional wave velocity (Vp) to Vs introduces...

... fluids and materials drilling fluid management & disposal reservoir geomechanics bha western china wei liu annular pressure drilling drilling equipment well logging log analysis knowledge management digital technology optimize well planning reservoir characterization optimization...

... ABSTRACT: Compressional wave (P-wave) travel time is an important sonic log that can be utilized to indirectly estimate geomechanical properties such as Young’s modulus and Poisson’s ratio. Unfortunately, sonic travel-time logs are often absent in the conventional well log suites and need...

..., fault slippage and induced seismicity. Obtaining the data required to build MEM relies on several costly and time-consuming operations such as core sampling, laboratory analysis, various well logs and well testing. This is while there are instances where data is not available. Therefore, a question...

... directional drilling drilling fluids and materials complex reservoir drilling operation wellbore integrity shale gas well logging drilling fluid management & disposal reservoir characterization reservoir geomechanics trajectory wellbore instability ninga wellbore stability longmaxi formation...

... as an input for the geo-modeling process. These parameters are Shale volume, porosity, saturation, and permeability. The calculations were conducted using well log data including gamma-ray, deep resistivity, neutron porosity, bulk density, and compressional slowness, and the results were calibrated using core...

... engineering and geophysical parameters of the materials. investigation reservoir characterization structural geology well logging international standard practice neural network log analysis west conshocken pennsylvania method resistivity upstream oil & gas artificial intelligence...

... in a single run, in a time-efficient manner, and in combination with micro-hydraulic and sleeve fracturing stress tests for an integral approach to in situ geomechanical assessment. upstream oil & gas well logging moduli formation testing reservoir characterization stiffness log analysis...

... fracturing fracture fracture characterization log analysis attenuation borehole waveform reservoir characterization propagation upstream oil & gas well logging stoneley waveform shear waveform borehole acoustic waveform sensitivity modeling fluid-filled fracture journal comparison...

... window cohesion oilfield circumference well logging reservoir geomechanics poisson strength integrated geomechanics approach prediction ARMA 22 2093 Prediction of Safe Drilling Fluid Density Window in X Oilfield Through an Integrated Geomechanics Approach: A Case Study of Well A Huayang Li...

... is low and the cost is high. Therefore, a fast and accurate method for lithology identification is urgently needed. decision tree learning structural geology neural network well logging artificial intelligence lithology identification machine learning log analysis lithology upstream oil...

... experiment 2 wellbore seismic fracture characterization complex reservoir downhole intervention north america government united states government log analysis well logging hydraulic fracturing reservoir surveillance production control real time system reservoir geomechanics stimulation machine...

... at an appropriate resolution is the key for successful prediction fracture growth and other crucial treatment parameters. Our focus is on studying several strategies to average fracture toughness and assess their suitability for use in advanced computational methods such as FE/BEM. In practice the well log...