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hydrocarbon-reservoirs
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Immiscible Displacement of a Wetting Fluid by a Non-wetting One at High Capillary Number in a Micro-model Containing a Single Fracture
, Article Transport in Porous Media ; Volume 94, Issue 1 , 2012 , Pages 289-301 ; 01693913 (ISSN) ; Rashtchian, D ; Shadizadeh, S. R ; Sharif University of Technology
Abstract
Most reservoirs in Iran are heterogeneous fractured carbonate reservoirs. Heterogeneity causes an earlier breakthrough and an unstable front which leads to a lower recovery. A series of experiments were conducted whereby the distilled water displaced n-Decane in strongly oil-wet glass micro-models containing a single fracture. Experimental data from image analysis of immiscible displacement processes are used to modify the Buckley-Leverett and fractional flow equations by a heterogeneity factor. It is shown that the heterogeneity factor in the modified equations can be expressed as a function of fracture length and orientation
Simulation of Two Phase flow in 2D Hydrocarbon Reservoirs Using Reduced Order Modeling Based on Proper Orthogonal Decomposition Technique
, M.Sc. Thesis Sharif University of Technology ; Taghizadeh Manzari, Mehrdad (Supervisor) ; Kazemzadeh Hannani, Siamak (Supervisor)
Abstract
The objective of this thesis is to use proper orthogonal decomposition (POD) method in numerical simulation of a hydrocarbon reservoir to decrease computational time.The algorithm basically consists of two projection steps: (1) projecting the governing equations onto a subspace spanned by a low number of global empirical basis functions extracted from previous time step solutions, and (2) solving the governing equations in this reduced space and projecting the solution back on the original, high dimensional one. After projection of governing equations to new subspace, because of much less dimensions of this subspace, the computational cost of numerical solution of the equations, which mostly...
Study of Capillary Pressure Effect on Multiphase Flow in Hydrocarbon Reservoirs
, M.Sc. Thesis Sharif University of Technology ; Taghizadeh Manzari, Mehrdad (Supervisor)
Abstract
One of the most important issues in the petroleum industry, is how to increase the oil production from hydrocarbon reservoirs. The optimum design of an enhanced oil recovery process needs the knowledge on the physical phenomena of the working flow in oil reservoirs. An important aspect of any oil recovery process is the effectiveness of process fluid in removing oil from the rock pores at microscopic scales, in a way that it determines the success or failure of the recovery process. Meanwhile, one of the most important factors on the fluid mobility and as a result the microscopic mobility efficiency is the pressure difference between different phases in narrow paths of porous media. This...
The Effect of Different Stresses in the Three Principal Directions on Horizontal Fractured Formation
, M.Sc. Thesis Sharif University of Technology ; Goodarznia, Iraj (Supervisor)
Abstract
Nowadays, we know that many hydrocarbon reservoirs are fractured regarding this, the investigation of the properties of these reservoirs is necessary to predict the storage, production and the drilling methods. To identify fractured reservoirs, the fracture properties and their geometries under different conditions should be investigated. Besides, the evaluation of the behavior of induced fractures in distinct under ground conditions is very important. The Mechanical properties of the drilling bed like crack propagation, layer and mass rock is impactful in planning of drilling process and hydraulic fracturing operation. In this research, at first we introduce natural and induced fractures...
Optimization of Injection and Production Wells for Hydrocarbon Reservoirs
, M.Sc. Thesis Sharif University of Technology ; Taghizadeh Manzari, Mehrdad (Supervisor) ; Sadrhosseini, Hani (Supervisor)
Abstract
Iran is one of the biggest suppliers of oil in the world. Iran's economy highly depends on its oil. Iran has valuable old reservoirs that need some techniques to optimize their production of it.Determining optimal well placement and control is essential to maximizing production from an oil field. The reservoir optimization problem is an extraordinary complex problem that depends on many factors such as flow pattern, well specification, reservoir properties, and environmental and economic criteria. Finding the locations of injection and production wells and other optimum operational parameters in the oil industry are very important and have a great influence on the operation of the...
Investigation of the microscopic displacement mechanisms and macroscopic behavior of alkaline flooding at different wettability conditions in shaly glass micromodels
, Article Journal of Petroleum Science and Engineering ; Vol. 122, issue , August , 2014 , pp. 595-615 ; ISSN: 09204105 ; Ghazanfari, M. H ; Sharif University of Technology
Abstract
Among various chemical methods, alkaline flooding has a great potential for enhancing heavy oil recovery, especially for reservoirs which contain acidic crude oil. However, fundamental understanding about microscopic displacement mechanisms and macroscopic behavior during alkaline floods at different wettabilities is not well understood, especially in five-spot shaly models. In this work several alkaline floods are performed on a glass micromodel containing randomly distributed shale streaks at different wettability conditions. Various mechanisms responsible for enhancing heavy oil recovery during alkaline flooding are investigated at different wettability conditions. These mechanisms...
Scaling of counter-current imbibition recovery curves using artificial neural networks
, Article Journal of Geophysics and Engineering ; Volume 15, Issue 3 , 2018 , Pages 1062-1070 ; 17422132 (ISSN) ; Masihi, M ; Nasiri Zarandi, M ; Sharif University of Technology
Institute of Physics Publishing
2018
Abstract
Scaling imbibition curves are of great importance in the characterization and simulation of oil production from naturally fractured reservoirs. Different parameters such as matrix porosity and permeability, oil and water viscosities, matrix dimensions, and oil/water interfacial tensions have an effective on the imbibition process. Studies on the scaling imbibition curves along with the consideration of different assumptions have resulted in various scaling equations. In this work, using an artificial neural network (ANN) method, a novel technique is presented for scaling imbibition recovery curves, which can be used for scaling the experimental and field-scale imbibition cases. The...
Analysis of cross correlations between well logs of hydrocarbon reservoirs
, Article Transport in Porous Media ; Volume 90, Issue 2 , 2011 , Pages 445-464 ; 01693913 (ISSN) ; Jafari, G. R ; Lai, Z. K ; Masihi, M ; Sahimi, M ; Sharif University of Technology
Abstract
We carry out a series of cross-correlation analysis of raw well-log data, in order to study the possible connection between natural gamma ray (GR) logs and other types of well logs, such as neutron porosity (NPHI), sonic transient time (denoted usually by DT), and bulk density (RHOB) of oil and gas reservoirs. Three distinct, but complementary, methods are used to analyze the cross correlations, namely, the multifractal detrended cross-correlation analysis (MF-DXA), the so-called Qcc(m) test in conjunction with the statistical test-the χ2(m) distribution-and the cross-wavelet transform (XWT) and wavelet coherency. The Qcc(m) test and MF-DXA are used to identify and quantify the strength of...
Parallel Computing of Black Oil Model in Porous Media in 2-D Unstructured Grid Using Control Volume Finite Element Based
, M.Sc. Thesis Sharif University of Technology ; Taghizadeh Manzari, Mehrdad (Supervisor) ; Kazemzadeh Hannani, Siamak (Supervisor)Compositional Simulation of Hydrocarbon Reservoirs Flow Using Adaptive Compositional Space Parameterization
, M.Sc. Thesis Sharif University of Technology ; Taghizadeh Manzari, Mehrdad (Supervisor) ; Kazemzadeh Hannani, Siamak (Supervisor)
Abstract
In recent decades, there have been great efforts to simulate flow in hydrocarbon reservoirs and oil recovery processes. Compositional model is one of the most advanced models for this purpose. In this model nonlinear mass conservation equations for multicomponent flow have to be solved along with thermodynamic equilibrium constraints. In most compositional simulators, an equation of state is used to determine phase behavior of hydrocarbon mixtures. In this work an efficient two-phase compositional model for both immiscible and miscible fluid flows in porous media is presented. The solution algorithm employs the so-called Implicit Pressure Explicit Saturation (IMPES) method. To determine the...
Combination of a Multi-scale Finite Volume and Streamline Methods for Reservoir Simulation
, M.Sc. Thesis Sharif University of Technology ; Taghizadeh Manzari, Mehrdad (Supervisor)
Abstract
In this work, the combination of a multi-scale finite volume and streamline methods is presented for subsurface flow modeling. The used multi-scale method in this work is the same with the traditional type of it in algorithm and formulation. However, because of using a new mesh structure for implementation of multi-scale finite volume method, the new method named by Staggered Mesh Multi-scale Finite Volume (SMMsFV) method. Using the staggered mesh has some advantages such as reducing the computational cost and increasing the accuracy of the multi-scale method. In the SMMsFV method, first the coarse grid and dual coarse grid are constructed on the underlying fine grid. Then, the basis and...
Simulation and Investigation of EOR Method in Cheshmeh Khosh Oil Reservoir
, M.Sc. Thesis Sharif University of Technology ; Godarznia, Iraj (Supervisor) ; Helalizadeh, Abbas (Supervisor) ; Masihi, Mohsen (Supervisor)
Abstract
Considering that hydrocarbon production, reduces energy of reservoir and causes part of the valuable compounds remaining in the oil or gas reservoir and can not be extracted by reservoir energy, so optimization of production by control flow rate, drilling new wells and applying lOR and EOR methods in order to increase hydrocarbon recovery is necessary. Gas and water inject through injection well into the reservoir for improve oil recovery. As implementation of different production and injection scenario is very expensive. Simulation of different method and applying the best is very helpful and necessary. In this study we use Eclipse software that is one of the best software that can simulate...
History matching of naturally fractured reservoirs based on the recovery curve method
, Article Journal of Petroleum Science and Engineering ; Vol. 126, issue , February , 2015 , p. 211-221 ; ISSN: 09204105 ; Masihi, M ; Heinemann, Z. E ; Ghazanfari, M. H ; Sharif University of Technology
Abstract
The discrete fracture network (DFN) and Multiple-Continua concept are among the most widely used methods to model naturally fractured reservoirs. Each faces specific limitations. The recently introduced recovery curve method (RCM) is believed to be a compromise between these two current methods. In this method the recovery curves are used to determine the amount of mass exchanges between the matrix and fracture mediums. Two recovery curves are assigned for each simulation cell, one curve for gas displacement in the presence of the gravity drainage mechanism, and another for water displacement in the case of the occurrence of the imbibition mechanism. These curves describe matrix-fracture...
Lithological facies identification in Iranian largest gas field: A comparative study of neural network methods
, Article Journal of the Geological Society of India ; Vol. 84, issue. 3 , Sep , 2014 , p. 326-334 ; ISSN: 00167622 ; Masihi, M ; Sola, B. S ; Biniaz, E ; Sharif University of Technology
Abstract
Determination of different facies in an underground reservoir with the aid of various applicable neural network methods can improve the reservoir modeling. Accordingly facies identification from well logs and cores data information is considered as the most prominent recent tasks of geological engineering. The aim of this study is to analyze and compare the five artificial neural networks (ANN) approaches with identification of various structures in a rock facies and evaluate their capability in contrast to the labor intensive conventional method. The selected networks considered are Backpropagation Neural Networks (BPNN), Radial Basis Function (RBF), Probabilistic Neural Networks (PNN),...
Rock Type Connectivity Estimation Using Percolation Theory
, Article Mathematical Geosciences ; Vol. 45, issue. 3 , April , 2013 , p. 321-340 ; ISSN: 18748961 ; Masihi, M ; Pishvaie, M ; King, P. R ; Sharif University of Technology
Abstract
Complicated sedimentary processes control the spatial distribution of geological heterogeneities. This serves to make the nature of the fluid flow in the hydrocarbon reservoirs immensely complex. Proper modeling of these heterogeneities and evaluation of their connectivity are crucial and affects all aspects of fluid flow. Since the natural variability of heterogeneity occurs in a myriad of length scales, accurate modeling of the rock type connectivity requires a very fine scheme, which is computationally very expensive. Hence, this makes other alternative methods such as the percolation approach attractive and necessary. The percolation approach considers the hypothesis that a reservoir can...
Lithological facies identification in Iranian largest gas field: A comparative study of neural network methods
, Article Journal of the Geological Society of India ; Vol. 84, issue. 3 , September , 2014 , PP. 326-334 ; ISSN: 00167622 ; Masihi, M ; Sola, B. S ; Biniaz, E ; Sharif University of Technology
Abstract
Determination of different facies in an underground reservoir with the aid of various applicable neural network methods can improve the reservoir modeling. Accordingly facies identification from well logs and cores data information is considered as the most prominent recent tasks of geological engineering. The aim of this study is to analyze and compare the five artificial neural networks (ANN) approaches with identification of various structures in a rock facies and evaluate their capability in contrast to the labor intensive conventional method. The selected networks considered are Backpropagation Neural Networks (BPNN), Radial Basis Function (RBF), Probabilistic Neural Networks (PNN),...
Prediction of Surfactant Retention in Porous Media: A Robust Modeling Approach
, Article Journal of Dispersion Science and Technology ; Vol. 35, issue. 10 , Sep , 2014 , p. 1407-1418 ; Arabloo, M ; Shokrollahi, A ; Mohammadi, A. H ; Sharif University of Technology
Abstract
Demands for hydrocarbon production have been increasing in recent decades. As a tertiary production processes, chemical flooding is one of the effective technologies to increase oil recovery of hydrocarbon reservoirs. Retention of surfactants is one of the key parameters affecting the performance and economy of a chemical flooding process. The main parameters contribute to surfactant retention are mineralogy of rock, surfactant structure, pH, salinity, acidity of the oil, microemulsion viscosity, co-solvent concentration, and mobility. Despite various theoretical studies carried out so far, a comprehensive and reliable predictive model for surfactant retention is still found lacking. In this...
Point-to-point connectivity prediction in porous media using percolation theory
, Article Physica A: Statistical Mechanics and its Applications ; Volume 460 , 2016 , Pages 304-313 ; 03784371 (ISSN) ; Masihi, M ; Ganjeh Ghazvini, M ; Sharif University of Technology
Elsevier
Abstract
The connectivity between two points in porous media is important for evaluating hydrocarbon recovery in underground reservoirs or toxic migration in waste disposal. For example, the connectivity between a producer and an injector in a hydrocarbon reservoir impact the fluid dispersion throughout the system. The conventional approach, flow simulation, is computationally very expensive and time consuming. Alternative method employs percolation theory. Classical percolation approach investigates the connectivity between two lines (representing the wells) in 2D cross sectional models whereas we look for the connectivity between two points (representing the wells) in 2D aerial models. In this...
Analysis of a more realistic well representation during secondary recovery in 3-D continuum models
, Article Computational Geosciences ; Volume 21, Issue 5-6 , 2017 , Pages 1035-1048 ; 14200597 (ISSN) ; Masihi, M ; Sharif University of Technology
Abstract
The effectiveness of secondary recovery methods in reservoir development studies depends on the knowledge about how fluid-carrying regions (i.e. good-quality rock types) are connected between injection and production wells. To estimate reservoir performance uncertainty, comprehensive simulations on many reservoir model realisations are necessary, which is very CPU consuming and time demanding. Alternatively, we can use much simpler and physically based methods such as percolation approach. Classic percolation assumes connectivity between opposite 2-D faces of a 3-D system; whereas, hydrocarbon production is achieved through active wells that are one-dimensional lines (e.g. vertical,...
Performance of combined vorticity-based gridding and dual mesh method for gravity dominated reservoir flows
, Article Journal of Petroleum Science and Engineering ; Volume 67, Issue 3-4 , 2009 , Pages 127-139 ; 09204105 (ISSN) ; Ashjari, M. A ; Sharif University of Technology
2009
Abstract
This paper presents a new combined method for accurate upscaling of two-phase displacements in highly heterogeneous reservoirs. The method has the capability to retain its high performance for various flow regimes, from viscous to gravity dominant displacements, without the need for further modifications and computational steps. Two different grids are incorporated for simulation. The grid on fine scale is used to recognize the complicated physics of flow which depends on dominated driving forces and their interaction with heterogeneity. However, to achieve a fast simulation, the global flow calculation is performed on the coarse scale grid using upscaled equivalent properties. The...