Study of Homogeneous Reservoir Pressure Inversion Model Based on Permeability Mechanics and Interpretation Software Design

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhongshuai Chen ◽  
Hongjian Ni ◽  
Zhiqi Sun ◽  
Shiping Zhang ◽  
Qisong Wang

Well test analysis is required during the extraction of oil and gas wells. The information on formation parameters can be inverted by measuring the change in wellbore pressure at production start-up or after well shutdown. In order to calculate the characteristic parameters of the well, this paper creates a well test interpretation model for homogeneous reservoirs based on the theory of seepage mechanics, uses the Stehfest–Laplace inversion numerical inversion algorithm, and builds the Gringarten–Bourdet logarithmic curves model. The model can be used to evaluate the homogeneous reservoir. We use this model to design the pressure inversion interpretation software to implement a pressure inversion method based on permeability mechanics theory by using computer. The software can obtain the reservoir characteristic parameters such as permeability ( K ), skin coefficient ( S ), and wellbore storage coefficient ( C ). The homogeneous formation Gringarten–Bourdet curves data are available at https://github.com/JXLiaoHIT/Study-of-homogeneous-reservoir-pressure-inversion-model.

1972 ◽  
Author(s):  
Hossein Kazemi

Abstract Two simple and equivalent procedures are suggested for improving the calculated average reservoir pressure from pressure buildup tests of liquid or gas wells in developed reservoirs. These procedures are particularly useful in gas well test analysis irrespective of gas composition, in reservoirs with pressure-dependent permeability and porosity, and in oil reservoirs where substantial gas saturation has been developed. Long-term production history need not be known. Introduction For analyzing pressure buildup data with constant flowrate before shut in, two plotting procedures are mostly used: The Miller-Dyes-Hutchinson (MDH) plot (1,8) and the Horner plot (2,8). The Miller-Dyes-Hutchinson plot is a plot of pws vs log Δt. The Horner plot consists of plotting the bottom hole shut-in pressure, pws vs log [(tp + Δt)/Δt]. Δt is the shut-in time and tp is a pseudo-production time equal to the ratio of total produced fluid and the last stabilized flowrate prior to shut in. This method was first used by Theis (3) in the water industry.


PETRO ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 153
Author(s):  
Jodica Jodica ◽  
Onnie Ridaliani ◽  
Ghanima Yasmaniar

<p><em>Different flow region will form in the reservoir when the gas condensate fluid flows with a bottom</em><em> </em><em>hole</em><em> </em><em>pressure</em><em> </em><em>below</em><em> </em><em>the</em><em> </em><em>dew</em><em> </em><em>point</em><em> </em><em>pressure.</em><em> </em><em>This</em><em> </em><em>flow</em><em> </em><em>region</em><em> </em><em>can</em><em> </em><em>be</em><em> </em><em>identified</em><em> </em><em>by</em><em> </em><em>the</em><em> </em><em>pressure build-up test analysis. This analysis can be done well on reservoir with homogeneous system and becomes</em><em> </em><em>more</em><em> </em><em>complex</em><em> </em><em>on</em><em> </em><em>reservoir</em><em> </em><em>with</em><em> </em><em>heterogeneous</em><em> </em><em>system.</em><em> </em><em>The</em><em> </em><em>purpose</em><em> </em><em>of</em><em> </em><em>this</em><em> </em><em>study</em><em> </em><em>is</em><em> </em><em>to</em><em> </em><em>find informations and characteristics about carbonate reservoir with gas condensate. Reservoir parameters that can be obtained are initial reservoir pressure (</em><em>pi</em><em>), </em><em>permeability (k), skin factor (s), reservoir boundary (boundary), drainage area, and average reservoir pressure ( </em><em>pr </em><em>). "JD-1" exploratory well penetrated the carbonate formation with the gas condensate hydrocarbon content. The well test analysis conducted is pressure analysis with pressure build-up testing and theanalysis results show a reservoir with a two-layer model, permeability value of 154 md, skin 13.8, initial pressure 3286.3 psia, and average reservoir pressure of 3285.7</em><em> </em><em>psia</em><em>.</em></p><p><em> </em></p><p> </p>


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Li Xu ◽  
Xiangjun Liu ◽  
Lixi Liang ◽  
Shunchu Li ◽  
Longtao Zhou

This paper proposes a similar structure method (SSM) to solve the boundary value problem of the extended modified Bessel equation. The method could efficiently solve a second-order linear homogeneous differential equation’s boundary value problem and obtain its solutions’ similar structure. A mathematics model is set up on the dual-porosity media, in which the influence of fractal dimension, spherical flow, wellbore storage, and skin factor is taken into cosideration. Researches in the model found that it was a special type of the extended modified Bessel equation in Laplace space. Then, the formation pressure and wellbore pressure under three types of outer boundaries (infinite, constant pressure, and closed) are obtained via SSM in Laplace space. Combining SSM with the Stehfest algorithm, we propose the similar structure method algorithm (SSMA) which can be used to calculate wellbore pressure and pressure derivative of reservoir seepage models clearly. Type curves of fractal dual-porosity spherical flow are plotted by SSMA. The presented algorithm promotes the development of well test analysis software.


2009 ◽  
Vol 23 (08) ◽  
pp. 1027-1051 ◽  
Author(s):  
M. ANDRECUT

The deconvolution method has received much attention recently, and is becoming one of the major tools for well test and production data analysis in oil and gas industry. Here, we present a new deconvolution approach, which we believe is relevant and can be an important addition to the existing efforts made in this field. We show that the solution of the deconvolution problem can be successfully represented as a linear combination of non-orthogonal exponential functions. Also, we present three deconvolution algorithms. The first two algorithms are based on regularization concepts borrowed from the well-known Tikhonov and Krylov methods, while the third algorithm is based on the stochastic Monte Carlo method.


2020 ◽  
Vol 39 (3) ◽  
pp. 816-820
Author(s):  
E.H. Idudje ◽  
E.S. Adewole

This paper develops a new well test analysis procedure of a horizontal well in an infinite-acting reservoir. Hitherto, horizontal well pressure drawdown test analysis during infinite-acting flow was accomplished based on a straight line method obtained from a plot of flowing wellbore pressure versus log of flow time. In that procedure, only limited system characterization was possible. Furthermore, the rigorous type curve matching was resorted to when a straight line did not appear. In the method developed here, a plot of flowing wellbore pressures, pwf, against dimensionless wellbore pressures, pD, is made for analysis. Results show that a straight line relationship exists between the two plotted parameters on a linear paper. The straight line slope across the middle time region can be taken to perform test analysis. From the plot, reservoir pressure, near wellbore permeability, reservoir capacity, fluid mobility and transmissibility can be calculated. Mathematical procedure leading to this method of analysis is based on selection of relevant source and Green’s functions for a horizontal well during infinite-acting flow and purely as a line source. A case pressure test selected for analysis using the method developed here yielded very close reservoir character compared to the reservoir being characterized Keywords: Dimensionless pressure, dimensionless derivatives, infinite-acting, horizontal well, early radial flow


Sign in / Sign up

Export Citation Format

Share Document