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Pressure and pressure derivative analysis for triple-porosity and single-permeability systems in naturally fractured vuggy reservoirs


Article Information

Title: Pressure and pressure derivative analysis for triple-porosity and single-permeability systems in naturally fractured vuggy reservoirs

Authors: Freddy Humberto Escobar, Raul Fernando Rojas, Juan Diego Rojas

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2014

Volume: 9

Issue: 8

Language: English

Categories

Abstract

There are several developed models in the literature to interpret pressure tests in heterogeneous reservoirs; however, none of these had developed a methodology able to estimate the characteristic parameters of triple-porosity and single-permeability reservoirs without storage and wellbore damage. Amacho et al. (2005) analytical solution was used as a reference point for modeling the complexity of these reservoirs. Since none commercial software includes this analytical solution up to now, then, this proposal represents the characterization of heterogeneous naturally fractured vuggy reservoirs by extending the TDS methodology which refers to the “fingerprints” found on the pressure and pressure derivative versus time curve -without using type-curve matching- during the transient flow period and dominated flow boundaries. This leads to obtain the dimensionless storativity coefficients, wv and wf for the systems of fractures and vugs and, also, the interporosity flow parameters: matrix - fracture, matrix - vugs, fractures - vugs, lmf, lvf, yl mv. The mathematical expressions proposed were verified successfully by simulating synthetic pressure tests, in which there were found very good adjustments between the calculated results and the values used for simulations. Although, one filed case was worked, the agreement was not so good since part of the input data was assumed.


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