scholarly journals Reservoir Simulation of CO2 Storage Using Compositional Flow Model for Geological Formations in Frio Field and Precaspian Basin

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8023
Author(s):  
Aibar Kamashev ◽  
Yerlan Amanbek
Keyword(s):  
Reservoir Simulation ◽  
History Matching ◽  
Flow Model ◽  
Co2 Storage ◽  
Pilot Project ◽  
Greenhouse Gas Mitigation ◽  
Compositional Flow ◽  
Local Grid ◽  
Reservoir Simulator

CO2 storage is a greenhouse gas mitigation instrument for many countries. In this paper, we investigate the possibility of CO2 storage in the region of the Precaspian basin using the compositional flow model that was verified by the data of the Frio pilot project, USA. We use local grid refinement in the commercial reservoir simulator. In the reservoir simulation for data of the Frio Pilot project, we have achieved a good history matching of well pressure. Different scenarios were tested, and post-injection migration was shown for both case studies. The long-term reservoir simulation shows the potential amount of trapped CO2 by residual and dissolved trapping mechanisms in the Precaspian basin. The performed uncertainty study covered the uncertainty of the model’s parameters resulting in P10, P50 and P90 cases in terms of the amount of trapped CO2.

scholarly journals Reservoir Simulation of CO2 Storage using Compositional Flow Model for geological formations in Frio Field and Precaspian Basin

2021 ◽  
Author(s):  
Aibar Kamashev ◽  
Yerlan Amanbek
Keyword(s):  
Reservoir Simulation ◽  
History Matching ◽  
Flow Model ◽  
Co2 Storage ◽  
Pilot Project ◽  
Greenhouse Gas Mitigation ◽  
Compositional Flow ◽  
Local Grid ◽  
Reservoir Simulator

CO2 storage is a greenhouse gas mitigation instrument for many countries.In this paper, we investigate the possibility of CO2 storage in the region of the Precaspian basin using the compositional flow model that was verified by the data of the Frio pilot project, USA. We use local grid refinement in the commercial reservoir simulator. In the reservoir simulation for data of the Frio Pilot project, we have achieved a good history matching of the well pressure. The different scenarios were tested and post-injection migration was shown for both case studies. The long-term reservoir simulation shows the potential amount of trapped CO2 by residual and dissolved trapping mechanisms in the Precaspian basin.

Uncertainty Analysis in the Production History Matching by Using Proxies as Reservoir Simulators

2012 ◽  
Author(s):  
Paulo Camargo Silva ◽  
Virgílio José Martins Ferreira Filho
Keyword(s):  
Probability Density ◽  
Reservoir Simulation ◽  
History Matching ◽  
Simulation Models ◽  
Difficult Problem ◽  
Probability Density Functions ◽  
Density Functions ◽  
Production History ◽  
Definition Of ◽  
Reservoir Simulator

In the recent literature of the production history matching the problem of non-uniqueness of reservoir simulation models has been considered a difficult problem. Complex workflows have been proposed to solve the problem. However, the reduction of uncertainty can only be done with the definition of Probability Density Functions that are highly costly. In this article we introduce a methodology to reduce uncertainty in the history matching using techniques of Monte Carlo performed on proxies as Reservoir Simulator. This methodology is able to compare different Probability Density Functions for different reservoir simulation models to define among the models which simulation model can provide more appropriate matching.

COAL SEAM RESERVOIR SIMULATION

1994 ◽  
Vol 34 (1) ◽  
pp. 114
Author(s):  
M.D. Stevenson ◽  
W.V. Pinczewski ◽  
K. Meaney ◽  
L. Paterson
Keyword(s):  
Reservoir Simulation ◽  
Coalbed Methane ◽  
History Matching ◽  
Vertical Wells ◽  
Coal Seams ◽  
Methane Recovery ◽  
Nitrogen Injection ◽  
Enhanced Coalbed Methane Recovery ◽  
The Usa ◽  
Reservoir Simulator

Numerical reservoir simulation in coal seams is different from conventional reservoir simulation because of the capacity for coal to adsorb large amounts of gas, including methane, carbon dioxide and nitrogen, and the need to model coal as a dual porosity system. These factors require specialised numerical simulators written to address these particular issues. This paper describes the development and applications of a reservoir simulator, SIMED II, to a number of applications in the coalbed methane context. SIMED II is an implicit finite-difference code developed to describe simultaneous gas and water flow in coal when there is more than one gas component present. Applications presented in this paper include (1) history matching and forecasting in vertical wells, (2) evaluation of dewatering during the cavity completion method of stimulating coal seams, (3) economic evaluation of nitrogen injection for enhanced coalbed methane recovery, and (4) application to the design and development of gassy coal mines involving gas drainage from horizontal wells. These applications have been directed at locations in the Sydney and Bowen basins in Australia, and the San Juan basin in the USA.

Study of Computer Aided History Matching Technology

2011 ◽  
Vol 271-273 ◽  
pp. 275-280
Author(s):  
Yan Ming An ◽  
Lian Qin He ◽  
Guo Zhong Zhao ◽  
Ming Fei An ◽  
Yue Zhen
Keyword(s):  
Numerical Simulation ◽  
Reservoir Simulation ◽  
History Matching ◽  
Effective Algorithm ◽  
Software Interface ◽  
Computer Aided ◽  
Matching Efficiency ◽  
Function Module ◽  
Reservoir Simulator ◽  
And Function

On the basic of studying the present technical situation of home and abroad about computer aided History Matching of the reservoir numerical simulation and digesting, absorbing technology, we studied and optimized highly effective algorithm fit for the aided History Matching. At the same time, we designed the software interface and frame and function module, developed the independent aided History Matching software named CAPHE, thus formed aided history methods suitable for our independent reservoir simulator-PBRS. By using of the software in practical some oil simulation blocks, CAPHE can significantly increase History Matching efficiency in the reservoir simulation.

scholarly journals PENINGKATAN PRODUKSI LAPANGAN “M” DENGAN PENDEKATAN SIMULASI UNTUK MENENTUKAN SKENARIO PENGEMBANGAN MENGGUNAKAN METODE WATERFLOODING

PETRO ◽  
2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Maria Irmina Widyastuti ◽  
Maman Djumantara
Keyword(s):  
Reservoir Simulation ◽  
History Matching ◽  
Control Volume ◽  
Volumetric Method ◽  
Reservoir Engineering ◽  
Data Preparation ◽  
The Third ◽  
Simulation Process ◽  
Grid Construction ◽  
Reservoir Simulator

<p>Reservoir simulation is an area of reservoir engineering in which computer models are used to predict the flow of fluids through porous media. Reservoir simulation process starts with several steps; data preparation, model and grid construction, initialization, history matching and prediction. Initialization process is done for matching OOIP or total initial hydrocarbon which fill reservoir with hydrocarbon control volume with volumetric method.</p><p>To aim the best encouraging optimum data, the plant of developments of this field was predicted for 22 years( until December 2035). The Scenario consisted of five different variation. First one is basecase, second scenario is scenario 1 + workover, third scenario would be scenario 1 + infill wells, fourth scenario is scenario 1 + peripheral injection, and the last fifth scenario is scenario 1 + 5-spot injection pattern wells. From all of the scenarios planned, recovery from from each scenario varied, the results are 31.05% for the first scenario, 31.53%, for the second one, 34.12%, for the third, 33.75% for the fourth scenario, and 37.04% for the fifth scenario which is the last one.</p><p>Keywords: reservoir simulation,reservoir simulator, history matching</p>

scholarly journals Skenario Pengembangan Untuk Meningkatkan Recovery Factor Pada Lapangan TR Lapisan X Dengan Menggunakan Simulasi Reservoir

PETRO ◽  
2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Muhamad Taufan Azhari ◽  
Maman Djumantara
Keyword(s):  
Reservoir Simulation ◽  
History Matching ◽  
Control Volume ◽  
Base Case ◽  
Case Scenario ◽  
Injection Wells ◽  
Base Case Scenario ◽  
Development Scenarios ◽  
Production Wells ◽  
Reservoir Simulator

<div class="WordSection1"><p><strong>SARI</strong></p><p>Simulasi reservoir merupakan bagian dari ilmu teknik perminyakan, khususnya teknik reservoir dimana model komputer digunakan untuk memprediksikan aliran fluida melalui media yang bersifat <em>porous. </em>Proses suatu simulasi reservoir dimulai dengan beberapa langkah, yakni preparasi data, pembangunan model beserta <em>grid</em>, inisialisasi, penyelarasan data produksi dengan simulasi (<em>history matching</em>)., serta prediksi <em>performance </em>produksi model yang disimulasikan. Proses inisialisasi dilakukan untuk menyesuaikan nilai OOIP atau total hidrokarbon awal yang mengisi reservoir dengan nilai OOIP awal pada model static.</p><p>Untuk mendapatkan peramalan kinerja produksi yang akurat, rencana pengembangan Lapangan TR Lapisan X dilakukan dengan memprediksikan kinerja reservoir untuk berproduksi selama 30 tahun (sampai dengan Januari 2044). Pengembangan yang direncanakan pada penelitian ini berjumlah 4 skenario, yang terdiri dari skenario 1 (<em>Base Case</em>), skenario 2 (<em>Base Case </em>+ <em>Reopening </em>sumur yang non-aktif), skenario 3 (skenario 2 + <em>Infill </em>sumur produksi), skenario 4 (Skenario 2 + <em>infill </em>sumur injeksi pola <em>5 spot</em>).</p><p><strong>ABSTRACT</strong></p><p>Reservoir simulation is an area of reservoir engineering in which computer models are used to predict the flow of fluids through porous media. Reservoir simulation process starts with several steps; data preparation, model and grid construction, initialization, history matching and prediction. Initialization process is done for matching OOIP or total initial hydrocarbon which fill reservoir with hydrocarbon control volume with volumetric method.</p><p>To aim the best encouraging optimum data, these development scenarios of TR Field Layer X will be predicted for 30 years (from 2014 until January 2044). Development scenarios in this study consist of 4 scenarios : Scenario 1 (Base Case), Scenario 2 (Base Case + Reopening non-active wells), Scenario 3 (scenario 2 + infill production wells), Scenario 4 (Scenario 2 + 5 spot pattern of infill injection wells).</p><p>Keywords: reservoir simulation,reservoir simulator, history matching</p></div>

scholarly journals A semi-implicit approach for the modeling of wells with inflow control completions

2020 ◽  
Vol 75 ◽  
pp. 39
Author(s):  
Eric Flauraud ◽  
Didier Yu Ding
Keyword(s):  
Oil Recovery ◽  
Reservoir Simulation ◽  
Flow Model ◽  
New Technologies ◽  
Control Valve ◽  
Simulation Models ◽  
Control Device ◽  
Fully Implicit ◽  
Implicit Approach ◽  
Reservoir Simulator

In the last two decades, new technologies have been introduced to equip wells with intelligent completions such as Inflow Control Device (ICD) or Inflow Control Valve (ICV) in order to optimize the oil recovery by reducing the undesirable production of gas and water. To optimally define the locations of the packers and the characteristics of the valves, efficient reservoir simulation models are required. This paper is aimed at presenting the specific developments introduced in a multipurpose industrial reservoir simulator to simulate such wells equipped with intelligent completions taking into account the pressure drop and multiphase flow. An explicit coupling or decoupling of a reservoir model and a well flow model with intelligent completion makes usually unstable and non-convergent results, and a fully implicit coupling is CPU time consuming and difficult to be implemented. This paper presents therefore a semi-implicit approach, which links on one side to the reservoir simulation model and on the other side to the well flow model, to integrate ICD and ICV.

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