... artificial intelligence regression model drilling parameter compressional wave velocity comparative analysis correlation selection determination Introduction In drilling, petrophysical parameters are key parameters for determining lithologies, corresponding rock strength for those lithologies...

... The cumulative production estimates from the developed correlations were also compared with the corresponding estimates from the DCA equations (seven different DCA methods used). The accuracy of prediction based on correlations developed in this study is at par with the various standard DCA...

.... To improve data correlations, multivariate analysis normalizes for parameters such as thermal maturity, depth, depletion, proppant intensity, drawdown, geology and completion design. Although advancements in computing power have decreased cycle times for multivariate analysis, preparing a clean dataset...

... water, the average width of fractures can be roughly estimated. Upstream Oil & Gas correlation water recovery hydraulic fracturing Duong gas Technology Institute chloride complex reservoir hydraulic fracture characterization society of petroleum engineers concentration flowback...

... are: the Onyia method ( Onyia 1988 ), Sarda method ( Sarda et al. 1993 ), Erfourth method ( Erfourth et al. 2005 ) and a new Gamma Ray method presented within this paper. Onyia Method The Onyia method ( Eq. 1 ) for determining a correlation between UCS and porosity uses Warren's roller cone penetration...

... to determine correlations between the observed water hammer signal and treatment size, fracture fluid type, completion type, and resulting well productivity. Optimization of hydraulic fractures requires the integration of data from a variety of sources, and water hammer data may prove to be a useful tool...

... while the threshold pressure increases with increased silica flour concentration and decreases with increased sand particle size, pore size of the permeable filter disk, and temperature. Practical empirical correlations and charts are developed for fluid loss, pressure initiation for flow...

... caused by gel particles suspension injection into sand packs is correlated successfully by using the dimensionless groups developed from the relevant variables of sand packs, gel particles suspensions, and application operation conditions. The dimensionless correlations are shown to assist in quantifying...

... is associated with whether the stage operates under conditions prior (mild performance deterioration) or after (severe performance deterioration) the surging point. The surging, for engineering purposes, can be predicted by published correlations, but the lack of theoretical basis is a limiting factor...

... studied in a laboratory setup and compares the results with the recorded data from a large number of slickwater fracturing treatments over a wide range of pumping rates and well tube sizes. It introduces a new concept of effective pipe diameter, which, correlated with a fluid velocity profile, permits...

... roughness correlation calculation reservoir geomechanics upstream oil & gas transition rock toughness net pressure nolte-smith analysis coefficient flow in porous media drillstem/well testing field data pressure drop spe 141525 bottomhole friction pressure minimum in-situ stress...

... of errors in rock strength values used in conductivity correlations was studied in order to determine the importance of using correct values for rock strength. Based on analysis of measured rock strength measurements, an average of 20% has been observed in data with greater errors for dolomite formations...

.... drilling operation flow rate wall shear stress pressure loss ratio drilling fluid management & disposal tool-joint pressure loss turbulent flow condition pressure loss drilling fluids and materials friction factor prediction annular pressure loss upstream oil & gas correlation...

... Abstract Many marginal gas wells cannot sustain production without artificial lift. For deep gas wells, one of the most feasible techniques is to use foam lift — inject surfactant in the well and create stable foam to lift the liquid to the surface. Unfortunately, no correlation is available...

... Upstream Oil & Gas machine learning Directional Drilling gas production back pressure MCU response variable fluid production reservoir pressure repeat failure correlation co 2 Ratherford Unit chemical flooding methods drilling operation regression model oil production fluid level...

... Abstract In this study, commonly used two-phase flow pressure prediction correlations and mechanistic models for pipelines in petroleum industry are used to simulate fluid flow in a hilly terrain pipeline. Simulation results are evaluated against experimental data. The experimental data were...

... Abstract Conditions leading to plugging of perforations in wells and pore-throats in porous formations are investigated experimentally. Accurate correlations are developed for the effect of pore-throat-to-particle-size ratio on flowing fluid conditions and plugging time leading to particle...

... Abstract In this study, commonly used two-phase flow pressure prediction correlations and mechanistic models for pipelines in petroleum industry are evaluated against experimental data. The experimental data were obtained from published papers. Horizontal and upward two-phase flow are common...

... Coates permeability equation and its variations were applied to estimate permeability with little correlation to production. An observation was made that T2 bin distribution data tended to mirror production rates. Attempts were made to establish an algorithm that would directly establish permeability...

... Abstract This paper presents the results of field evaluation by Rosneft of correlations developed by the Tulsa University Artificial Lift Projects (TUALP) to predict the performance of the natural separation process and of Electrical Submersible Pumps (ESP) operating under multiphase flow...