Dynamic Simulation of the Filtration Process Based on the Streamline Technology, Monitoring and Prediction of EOR and Stimulation Methods

Date

2022-11-03

Author

Jamalbayov, Mehemmed A.
Hasanov, Ilyas R.
Valiyev, Nazim A.
Doğan, Mehmet Onur
Jamalbayli, Tayfun M.

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

177
views

0
downloads

The purpose of the work is to model the filtration processes in gas condensate and oil (including volatile oil) reservoirs operated by production and injection wells of an arbitrary number on any coordinates, on the basis of which the creation of a computer simulator for visualization and predicting the process and evaluating the effectiveness of EOR and stimulation methods. The solution was obtained on the basis of streamline technology, taking into account reservoir rock deformations, PVT properties of reservoir fluids, multi-phase flow, mass transfer between phases, etc. For this purpose, have been used the previous results of the authors in the field of the two-dimension filtration modeling of complex hydrocarbon systems, such as gas condensate mixture and volatile oils in deformable reservoirs; material balance equations are applied for the cases under consideration, on the basis of which equations are obtained for determining reservoir pressure and saturation of pores with liquid phase at any point of the reservoir. It is also used the algorithm of the authors to calculate influx at a given bottom hole pressure or drawdown. The solution to the problem was obtained thanks to the idea of the time discretization. A computer simulator was created on the basis of the obtained mathematical model. It was tested on examples of gas condensate and volatile oil reservoirs. The results confirmed the adequacy of the obtained mathematical model, on the basis of which the simulator was developed. Figure 1 shows the filtration process (pressure distribution) between the wells (the upper well is an injection well). Studies have demonstrated the effectiveness of the obtained streamline-based solution. It has a number of advantages over Finite-Difference Simulation: It requires fewer data and fewer computational resources, hence it is easy and fast to implement; it is faster and works in real-time. The proposed streamline-based solution can be used to predict the effectiveness of reservoir stimulation methods including thermal stimulation. The results once again showed the wide possibilities of streamline technology.

URI

https://hdl.handle.net/11511/101446

Conference Name

ThEOR2022 - Thermal Methods for Enhanced Oil Recovery: Laboratory Testing, Simulation and Oilfields Applications

Collections

Department of Petroleum and Natural Gas Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Discontinuous Galerkin Methods for Unsteady Convection Diffusion Equation with Random Coefficients Çiloğlu, Pelin; Yücel, Hamdullah (null; 2018-10-21) Partial differential equations (PDEs) with random input data is one of the most powerful tools to model oil and gas production as well as groundwater pollution control. However, the information available on the input data is very limited, which cause high level of uncertainty in approximating the solution to these problems. To identify the random coefficients, the well–known technique Karhunen Loeve ` (K–L) expansion has some limitations. K–L expansion approach leads to extremely high dimensional systems wi...
Analytical investigation of wet combustion process for heavy oil recovery Bağcı, Ali Suat (Informa UK Limited, 2004-12-01) Analysis of combustion tube data produced from experiments performed under realistic reservoir conditions is currently the most valid method of investigating in-situ combustion process. In this study, the optimization of water-air ratio for B. Kozluca heavy crude oil, and the comparison of the performance of dry and wet forward combustion processes were studied. An analytical model was used to extend the laboratory results so that the oil production and steam zone volume can be estimated under field conditi...
Numerical simulation of laminar reaction flows Tarhan, Tanıl; Selçuk, Nevin; Department of Chemical Engineering (2004) Novel sequential and parallel computational fluid dynamic (CFD) codes based on method of lines (MOL) approach were developed for the numerical simulation of multi-component reacting flows using detailed transport and thermodynamic models. Both codes were applied to the prediction of a confined axisymmetric laminar co-flowing methane-air diffusion flame for which experimental data were available in the literature. Flame-sheet model for infinite-rate chemistry and one-, two-, and five- and ten-step reduced fi...
Integrated analysis of pressure response using pressure-rate convolution and deconvolution techniques for varied flow rate production in fractured formations Al-Rbeawi, Salam (Elsevier BV, 2018-03-01) This paper introduces an integrated analysis for pressure transient behavior of conventional and unconventional multi-porous media reservoirs considering varied flow rate conditions. It focuses on the applications of pressure-rate convolution and deconvolution techniques for analyzing pressure records of homogenous single porous media, double porous media, and triple porous media reservoirs. The tasks covered in this paper are: Deconvloving pressure response, characterizing and developing analytical models ...
Local improvements to reduced-order approximations of PDE-constrained optimization problems Akman, Tuğba; Karasözen, Bülent; Department of Scientific Computing (2015) Optimal control problems (OCPs) governed partial differential equations (PDEs) arise in environmental control problems, optimal control of fluid flow, petroleum reservoir simulation, laser surface hardening of steel, parameter estimation and in many other applications. Although the OCPs governed by elliptic and parabolic problems are investigated theoretically and numerically in several papers, the studies concerning the optimal control of evolutionary diffusion-convection-reaction (DCR) equation and Burger...

Citation Formats

M. A. Jamalbayov, I. R. Hasanov, N. A. Valiyev, M. O. Doğan, and T. M. Jamalbayli, “Dynamic Simulation of the Filtration Process Based on the Streamline Technology, Monitoring and Prediction of EOR and Stimulation Methods,” presented at the ThEOR2022 - Thermal Methods for Enhanced Oil Recovery: Laboratory Testing, Simulation and Oilfields Applications, Baku, Azerbaycan, 2022, Accessed: 00, 2023. [Online]. Available: https://hdl.handle.net/11511/101446.