... characterization resolution heterogeneity engineering evaluation information subjective evaluation improved upscaling method statistics multiple-point statistics carbonate rock image data regression mostaghimi ARMA 22 2204 Improved Upscaling Methods for Carbonate Rock Image Data Anup Kumar Shahi...

... well stimulation. The strain measurements can provide critical information about the fracture characteristics. Most of the studies on Low-Frequency DAS (LF-DAS) focus on interpreting data measurements from horizontal monitoring wells. The LF-DAS measurements from vertical monitoring wells can provide...

... significant uncertainty to calculation results. To this end, we propose to construct an efficient and robust Vs prediction model using Gated Recurrent Unit (GRU) network, which could deeply mine and connect the information in Vs sequence and other logging sequences (e.g., gamma ray, resistivity, neutron...

... & gas artificial intelligence neural network vibration amplitude prediction vibration amplitude prediction accuracy wavelet decomposition sequence sequence diagram stationary non-white noise sequence autocorrelation coefficient reconstruction information china university petroleum...

... otherwise be an arduous challenge for mesh-based numerical methods such as the finite element method due to issues with mesh tangling. In this work, the nanoparticles were represented with a collection of material points which carry all the information relevant to the material. The mechanical bonds between...

... boundaries. Note that in most cases the stability graph has been adapted for other SLOS operations (new site-specific conditions), NV operations and even for caving operations. reservoir geomechanics mineroc database metals & mining stability boundary information dilution acquisition module...

... on the damaged cores, such as unpreserved shale, is possible by utilizing adequate testing methods. One example are tests on the small-size samples that provide reliable information regarding the acoustic and mechanical properties of the material. It is, however, disputable to what extent one can recover...

... network prediction information forecast algorithm classification algorithm screen-out bhtp early prediction exhibition tip screen-out proppant concentration architecture gradient lstm architecture onepetro dataset module node ARMA 22 0052 Early Prediction and Prevention of Tip Screen...

... by using artificial neural networks. It is demonstrated that lithofacies information from images could be used for lithology classification based on ANN.(Ivchenko et al. 2018) Random Forest is always applied to make underground formation lithology compared with other machine learning algorithms such as GTB...

... prediction accuracy artificial intelligence machine learning coefficient prediction accuracy neural network reservoir characterization decision tree learning information bower deviation gbm subset random forest research porosity indicator mechanism hydrothermal pressurization reservoir...

... upstream oil & gas hydraulic fracturing dataset rockburst artificial intelligence accuracy nazarbayev university diameter algorithm sensor deep learning wave velocity prediction maksut reservoir characterization information regression suorineni experiment ARMA 22-166 A Machine...

... reservoir characterization well logging log analysis reservoir geomechanics drilling fluids and materials directional drilling wellbore design drilling process exhibition upstream oil & gas optimization geomechanical modeling wellbore integrity drilling operation information...

... ABSTRACT: In rock mechanics laboratory experiments, single-component acoustic emission sensors are commonly employed to monitor the failure process of rock, and from which basic information such as fracture types and location can be extracted. However, the spatial information of particle...

... reservoir characterization well logging casing and cementing correlation artificial intelligence upstream oil & gas actual log amplitude wellbore design dahi taleghani information cement bond taleghani gaussian process regression dataset procedure resource technology conference assess...

... upstream oil & gas sandstone structural geology high contrast lower value envelope implication reservoir characterization taner drilling event identification representation integrated analysis drilling operation information unconsolidated sand application well log lithology...

... fiber amplitude fluid distribution information perf cluster perforation production control completion installation and operations cumulative energy stimulation phase data spe hydraulic fracturing technology conference technology conference unconventional resource technology conference...

... ABSTRACT: Estimation of compaction and subsidence is one critical information for designing offshore platform to develop large carbonate gas reservoir. Coupled simulation between reservoir dynamic and geomechanical response is one of well-known approaches to predict the episodic compaction...

... with a wireline formation testing tool. A detailed planning process has been developed to maximize the success rate and the coverage of stress test stations, integrating all available information as it becomes available. A dedicated stress testing protocol was also developed to ensure the most robust estimate...

... to form kinematically removable blocks. Apart from the information pertaining to the magnitude and direction of the applied hydraulic loads, the block geometry parameters such as shape and volume are also required to complete the BSS analysis. The remote collection of the spatial data using geomatics...

... Tool (SOSAT) has been developed to aid in performing a Bayesian uncertainty quantification and geomechanical risk analysis using many types of commonly available data. A new feature of this tool is demonstrated using data from the FutureGen 2.0 site. The new feature of the tool uses information about...