... as energy carrier. coefficient geologist modeling & simulation geological subdiscipline production control geology reservoir surveillance correlation thermal diffusion equation dindoruk engineering production logging production monitoring equation california well correspond...

... storage pipeline corrosion application cacl 2 proc ionic strength geology materials and corrosion flowline corrosion co2 literature correlation composition cc application wellbore brine composition salinity journal In this work we extend the workflow for the brine solutions...

... was measured using a PVT cell. The modeling is based on PR78 EOS with Peneloux shift, where the ideal part of the isobaric heat capacity (obtained from correlations available in literature) is used to determine the residual part of all fluid properties fromthe EOS model atextended pressure and temperature...

... analysis completion installation and operations well performance mudstone reservoir characterization clastic rock mudrock wellbore integrity flow assurance artificial lift system sedimentary rock structural geology particle correlation strength gradient selection simulation erosion...

... the nuanced variation seen in HDR. To address this, the present work uses a three-dimensional optical approach called digital image correlation (3D-DIC) to investigate damage factors in HDR. HDR samples from the DOE UTAH FORGE project's Well 16B (78)-32 are subjected to uniaxial (D 1.5", L 2...

.... The strong correlation coefficient of 0.954 between measured and predicted wettability values underscores the model's robustness. Consequently, this study advances the predictability of key parameters for CO 2 sequestration and underscores the feasibility of using coal seams for long-term CO 2 storage...

... project's cost. The obtained results showed that using the developed computational simulator for designing CO2 transportation and injection provides more reliable prediction for pressure and temperature profiles without using correlations for CO2 properties. The sensitivity analysis reveals that the number...

..., such as: rock strength, elastic properties, in-situ stresses, pore pressure, etc. Most of these inputs are calculated using empirical correlations based on limited test data; or calculated using simple elastic equations and calibrated with limited data points. Uncertainties in test and calibration data combined...

... in the table. deep learning correlation artificial intelligence flowmeter reservoir surveillance machine learning production control gas flow rate estimation precision air emission production monitoring segmentation dataset grounding dino efficiency computer vision bridging reality...

... the performance of unconventional wells. Typically, all available features (geological and completion) are used to correlate the data to production performance of wells. Unlike the traditional approach, we correlate production data first to geological and geophysical parameters (depth, porosity, permeability...

... well placement while drilling as proposed by Pei at al. (2019 ) based on correlation between formation properties measured by such as gamma, density or neutron porosity from offset wells with vertical vibration averaged amplitude. However, a single number of drilling vibration was found misleading...

... on Monte Carlo simulation using a readily available Excel add-in. This paper reviews and utilizes the additional insights from the probabilistic output, generated from the input probability distribution functions and correlation coefficients chosen, unavailable from a traditional, deterministic financial...

... cement and bond evaluation cement sheath cement bond log correlation Introduction Understanding and achieving integrity in cemented wellbores are critical to well operators to help ensure that fresh-water aquifers are sealed, and the surface environment is protected. Well integrity is also key...

... in the understanding and development of carbonate reservoirs. sedimentary rock reservoir structural geology carbonate rock geologist salt tectonics artificial intelligence correlation discrete rock typing heterogeneity algorithm rock type permeability drt application pre-salt carbonate reservoir...

... performance. Despite the similarity in conventional performance metrics for both models, the analysis of maximum error and the scatter in the cross-correlation plots of model predictions clearly indicates that the model incorporating the calculated RA demonstrates closer alignment with actual values...

... heterogeneity pixel carbonate rock artificial intelligence reservoir characterization texture workflow sedimentology assessment well logging geological subdiscipline textural heterogeneity hti pore investigation dimension porosity variability correlation Introduction Post-depositional...

.... The fugacity in aqueous phase and brine properties are calculated by Henry's law and empirical correlations respectively. Meanwhile, the effect of dissolved gas influence on aqueous viscosity is considered which is ignored by current commercial simulator. The finite difference (volume) method is applied...

... analysis and production data analysis, aiming to find the correlation between fluids leak-off rate, flow-back salt concentration, fracture height, fracture complexity and the number of BPs. Results showed that fracture propagation is a competition controlled by stresses and rock BPs. Fracture propagation...

... are pseudocritical pressure and temperature values in psia and °R respectively, that may be obtained with the help of the correlations such as those proposed by Sutton (1985) which are dependent on gas specific gravity ( γ g ). Gas deviation factor ( z ) is calculated next using equation of state like...

... drilling fluid chemistry machine learning upstream oil & gas drilling fluids and materials viscosity almahdawi correlation ann prediction physics-based machine learning model drilling fluid selection and formulation marsh funnel viscosity pitt equation drilling operation drilling...