... Characterization Upstream Oil & Gas porosity well logging Crossplot correlation coefficient hydrocarbon-bearing formation gas-bearing formation formation water salinity chang 8 correlation analysis method resistivity identification oil-bearing formation tight sandstone reservoir formation...

.... There are several possible explanations for this change of correlation. In source-rock reservoirs, high GR often indicates high total organic carbon (TOC), kerogen, and gas or oil concentrations. In some tight-gas sandstone reservoirs, hydrocarbon-bearing sandstones have abnormally high GR. The change...

... ABSTRACT No preview is available for this paper. reservoir parameter seismic budny group ii reservoir quality statistical approach sandstone reservoir parameter good producer upstream oil & gas linear correlation phase difference target horizon erdgas-erdbl gmbh...

.... The methodology is demonstrated using data from a tight gas reservoir formation chracterized with low porosity and permeability located at approximately 2, 000 meters (TVDSS) in the study area. From the model inversion, the acoustic impedance (AI) is compared with variations in porosity resulting in a reasonable...

... In particular, McCain et al . 7 used a statistical, moving-window method to determine infill potential in a complex, low-permeability gas reservoir. Later, Voneiff and Cipolla 8 applied a similar method to analyze well location and production data for rapid assessment of infill and recompletion potential...

... reservoir formation testing reservoir characterization productivity production prediction solution mechanism correlation invasion tight ga formation ga reservoir east china sea Introduction The fluvial-deltaic reservoir of the Oligocene Huagang Formation in the Xihu sag of the East China...

... artificial intelligence flowback data evaluation petroleum engineer permeability correlation reservoir property gas field technology conference complex reservoir completion information flowback ratio service supplier water production inconsistency data approach dataset Introduction...

...-dependent rock property rock property core sample reservoir geomechanics Upstream Oil & Gas compressibility correlation normalized permeability fitting factor Abstract The volume of hydrocarbons contained in tight petroleum reservoirs is gigantic. Thus, their development is crucial...

... for predicting the dew point pressure for tight and high-pressure gas reservoirs. This work was carried out using five main phases; data collection, quality control, model construction, development of new correlation, and model validation. The data used in this work were obtained based on 250 laboratory...

... enough (large than 0.8) for waveform inversion. Carefully noise attenuation processing was carried out for CRP gathers with correlation less than 0.7 before waveform inversion. © 2011 SEG SEG San Antonio 2011 Annual Meeting 2379 Prestack full waveform inversion of tight gas sand reservoirs of Xujiahe...

... seg seg international exposition longwangmiao formation lithology dolomite predict lithology rock physics analysis crossplot argillaceous dolomite reservoir characterization statistical method upstream oil & gas data mining inversion prestack inversion lithology prediction dolomite...

... of the codell formation . In SPE Rocky Mountain Petroleum Technology Conference . OnePetro. 14. Tao , L. , Guo , J. C. , Zhao , Z. H. , & Yin , Q. W. ( 2020 ). Refracturing candidate selection for MFHWs in tight oil and gas reservoirs using hybrid method with data analysis...

... machine learning covariate prediction Upstream Oil & Gas cardium tight oil formation data mining Cardium Formation algorithm Artificial Intelligence case study random forest algorithm society of petroleum engineers database international petroleum technology conference...

...Abstract Abstract Artificial intelligence is playing a vital role in oil and gas industry. In this paper a new procedure and a unique statistical model has been developed to predict critical oil rate at any hydraulic fracture perimeter and reservoir property for Tight Oil Reservoirs (TOR...

... of reserves directly. flow in porous media ordos basin core porosity Fluid Dynamics petroleum reserve estimation Upstream Oil & Gas porosity reservoir porosity Reservoir Characterization core permeability evaluation core sample acoustic log permeability tight sandstone reservoir...

...) analysis combined with multivariate statistical modeling using multiple linear regression and boosted-tree models. Key conclusions are that variation in reservoir quality is one of the main drivers in both tight oil and gas shale. Beyond that, operational practices matter, from well completion...

... production performance in unconventional gas reservoirs. Simulation results are then integrated with a Bayesian decision model that accounts for the risk facing operators. We applied these integrated tools to a hypothetical case based on data from Deep Basin (Gething) tight gas sands in Alberta, Canada...

... slickwater multivariate statistical analysis slickwater parameter Introduction As conventional oil and gas reservoirs deplete, the demand to recover petroleum from unconventional reservoirs becomes a necessity. Tight gas and shale gas reservoirs cannot be recovered economically without the use...

...1 PAPER 2004-164 Parameter Sensitivity Study of a Statistical Technique for Fast Infill Evaluation of Mature Tight Gas Reservoirs L. GUAN*, D.A. MCVAY, J.L. JENSEN Texas A&M University *Now with ChevronTexaco Energy Technology Company This paper is to be presented at the Petroleum Society s 5th...