نتایج جستجو برای: carbonate reservoirs

تعداد نتایج: 43629  

Journal: :Processes 2023

Shunbei Oilfield is a fractured carbonate reservoir with complex geological structures that are influenced by fault movements and prone to collapse leak incidents. Precisely predicting leakage pressure crucial for conducting fracturing operations in the later stages of production. However, current fracture-related prediction models mostly rely on statistical mechanical methods, which require co...

2006
Y. F. Sun K. Berteussen S. Vega G. L. Bracco

Carbonate reservoir rocks of different pore structure have quite distinct and detectable 4D seismic signatures. Using three defined pore structure types (PST), these seismic signatures are correlated with the permeability patterns of carbonate rocks. In both the high-permeability PST3 and intermediate-permeability PST2 regions, gas injection is preferred than water injection for effective 4D se...

Journal: :Energies 2023

This paper develops a model of the multi-wing finite-conductivity fractures considering stress sensitivity for low-permeability bi-zone composite gas reservoirs. A new semi-analytical solution in Laplace domain is presented. The main includes theory source function, integral transformation, perturbation technique, and Stehfest numerical inversion. Wellbore pressure obtained by coupling solution...

Journal: :Energy & Fuels 2023

Nanomaterials have shown significant performances in enhancing oil recovery by reducing the interfacial tension (IFT) and contact angle (CA) of rock/crude oil/water system porous media. This is evaluated synergistic impact silica–graphene quantum dots (Si–GQDs) on IFT reduction wettability alteration for purpose from carbonate reservoirs. The were synthesized combining graphene oxide silicon na...

Porosity is considered as an important petrophysical parameter in characterizing reservoirs, calculating in-situ oil reserves, and production evaluation. Nowadays, using intelligent techniques has become a popular method for porosity estimation. Support vector machine (SVM) a new intelligent method with a great generalization potential of modeling non-linear relationships has been introduced fo...

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