Large Scale Reservoir Simulation Models for Regional Understanding of Inter-Field Communications - A Case Study Offshore Abu Dhabi

2021 ◽  
Author(s):  
Humberto Parra ◽  
Kristian Mogensen ◽  
Abdulla Alobeidli
Keyword(s):  
Simulation Model ◽  
Reservoir Simulation ◽  
Large Scale ◽  
Material Balance ◽  
Simulation Models ◽  
Abu Dhabi ◽  
Field Level ◽  
Change Of Scale ◽  
Regional Simulation ◽  
The Impact

Abstract Reservoir simulation models aim to reproduce at well, sector and field level the pressure and production behavior observed in the historical data. The size and resolution of the models are essentially capped by the computational resources as the numerical computations are quite complex and hardware demanding. For this reason, the use of simulation models to understand inter-field communications at regional level have been always a challenge, rarely pursued, referring those analyses to simple material balance to evaluate influxes, lacking lateral vectors to identify where volumes are coming from, especially on cases of multiple field interactions. The work presented in this paper illustrates the value of merging existing field level simulations models into a large scale regional simulation grids, in order to understand pressure disturbances observed in multiple fields Offshore Abu Dhabi. The process of merging simulation models represents a big challenge considering the high variety of approaches used in the original models, different geology complexity, fluid characteristics, different depletion regimes and field development strategies. In this study, thousands of wells, 6 structures with different fluid and equilibrium regions were used to build the biggest reservoir simulation model in Abu Dhabi. The integration of the data pursues the replication of the existing static and dynamic models, addressing in parallel lateral and vertical upscaling issues when moving from very fine into coarser grids. Implications on the change of scale on the repeatability of the HCIIP volumes and the impact of pseudo relative permeability curves on the history match were carefully analyzed during the process. Evaluation of the impact of the simplifications over the overall quality of the model was of paramount importance, interrogating whether the simplifications affects the capability of the model for assessing the pressure communication and influxes among the fields. The regional simulation model allowed to understand the effects of the peripheral water injection of a giant field on the nearby satellite fields, also the effects of these interactions on the pressure and oil saturation changes through time. Fields and Structures separated way far (20 and 40 Km away) can eventually see pressure disturbances after very long periods of time (up to 300 psi in couple of decades in some cases). Although evidences for changes in pressure are very clear and supported by RFT/MDT time lapsed data, the work also proved that changes on saturations are not very evident or can be considered very marginal on fields separated by large distances. This work represents an alternative and more accurate approach for evaluating nearby field communications and to quantify the boundary conditions to restore models at original stage before nearby interferences, allowing proper initialization of the fine scaled simulation models on pre-production status.

Influence of Oriented Perforation Design on Refracture Reorientation: Simulation and Experiment

2018 ◽  
Vol 140 (8) ◽  
Author(s):  
Minhui Qi ◽  
Mingzhong Li ◽  
Tiankui Guo ◽  
Chunting Liu ◽  
Song Gao ◽  
...  
Keyword(s):  
Hydraulic Fracturing ◽  
Large Scale ◽  
Simulation Models ◽  
Fracture Initiation ◽  
Simulation Method ◽  
Induced Stress ◽  
Study Results ◽  
Simulation Results ◽  
Fracturing Experiments ◽  
The Impact

The oriented perforating is the essential technique to guide the refracture reorientation, but the influence of the oriented perforation design on the refracture steering radius is still unclear. In this paper, the factors influencing the refracture reorientation were studied by simulation models and experiments. The effects of initial fracture, well production, and perforations on the refracture initiation and propagation were analyzed. Three-dimensional finite element models were conducted to quantify the impact of perforation depth, density, and azimuth on the refracture. The large-scale three-axis hydraulic fracturing experiments guided by oriented perforations were also carried out to verify the fracture initiation position and propagation pattern of the simulation results. The research results showed that perforations change the near-wellbore induced stress distribution, thus changing the steering radius of the refracture. According to the simulation results, the oriented perforation design has a significant influence on the perforation guidance effect and refracture characteristics. Five hydraulic fracturing experiments proved the influence of perforating parameters on fracture initiation and morphology, which have a right consistency between the simulation results. This paper presents a numerical simulation method for evaluating the influence of the refracture reorientation characteristics under the consideration of multiple prerefracturing induced-stress and put forward the oriented perforation field design suggestions according to the study results.

scholarly journals Model Simulasi Rational Unified Process (RUP) Pada Pegembagan Perangkat Lunak

Repositor ◽  
2020 ◽  
Vol 2 (4) ◽  
pp. 485
Author(s):  
Tuti Tia ◽  
Ilyas Nuryasin ◽  
Maskur Maskur
Keyword(s):  
Software Development ◽  
Simulation Model ◽  
Large Scale ◽  
Simulation Models ◽  
Project Manager ◽  
Small Scale ◽  
Software Companies ◽  
Unified Process ◽  
Role Based ◽  
Engineering Projects

Abstract Pada pengembangan perangkat lunak terdapat beberapa jenis metodologi yang dapat digunakan, salah satunya adalah Rational Unified Process (RUP). RUP merupakan salah satu jenis proses pengembangan perangkat lunak yang digunakan di berbagai perusahaan perangkat lunak. Terdapat berbagai jenis proyek pada pengembangan perangkat lunak RUP, yaitu proyek yang dibangun dari awal dan memiliki skala kecil, proyek yang memiliki skala besar dan proyek pengembangan dari sistem yang sudah dibangun sebelumnya. Setiap jenis proyek memiliki kebutuhan yang berbeda, terutama dalam penggunaan setiap peran. Pada RUP terdapat beberapa peran penting yang tidak dapat dilakukan oleh satu individu karena harus bekerja pada saat bersamaan. Pada dasarnya tujuan dari RUP adalah dapat menghasilkan perangkat lunak yang berkualitas tinggi. Hal tersebut tidak dapat tercapai apabila penggunaan peran yang kurang tepat. Penelitian ini mengusulkan jumlah peran yang dibutuhkan untuk pengembangan perangkat lunak menggunakan RUP dengan membuat model simulasi. Tujuan dari pembuatan model simulasi ini adalah untuk mengetahui peran yang sesuai berdasarkan setiap jenis proyek. Hasil dari model simulasi yaitu berupa persentase dari setiap peran yang dibutuhkan, project manager memiliki persentase terbesar dibandingkan dengan peran lainnya, yaitu sebesar 76% pada proyek skala kecil dan 60% pada proyek skala besar.AbstractIn software development there are several types of methodologies that can be used, one of which is Rational Unified Process (RUP). RUP is of software development process used in various software companies. There are various types of projects in RUP software development, small scale project, large-scale projects and re-engineering projects. Each type of project has different needs, especially in the use of each role. In RUP there are several important roles that cannot be done by an individual because they have to work at the same time. Basically the purpose of the RUP is to be able to produce high quality software. This cannot be achieved if the inappropriate role is used. This study proposes the number of roles needed for software development using RUP by creating simulation models. The purpose of simulation model is to determine the appropriate role based on each type of project. The results of the simulation model are in the form of a percentage of each role needed, the project manager has the largest percentage compared to other roles, which is 76% in small-scale projects and 60% in large-scale projects.

scholarly journals SIMULATION MODEL FOR RATIONAL UNIFIED PROCESS (RUP) SOFTWARE DEVELOPMENT LIFE CYCLE

SISTEMASI ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 176
Author(s):  
Tuti Karen Tia
Keyword(s):  
Software Development ◽  
Simulation Model ◽  
Large Scale ◽  
Simulation Models ◽  
Small Scale ◽  
Software Companies ◽  
Development Life Cycle ◽  
Unified Process ◽  
Role Based ◽  
Engineering Projects

In software development there are several types of methodologies that can be used, one of which is Rational Unified Process (RUP). RUP is of software development process used in various software companies. There are various types of projects in RUP software development, small scale project, large-scale projects and re-engineering projects. Each type of project has different needs, especially in the use of each role. In RUP there are several important roles that cannot be done by an individual because they have to work at the same time. Basically the purpose of the RUP is to be able to produce high quality software. This cannot be achieved if the inappropriate role is used. This study proposes the number of roles needed for software development using RUP by creating simulation models. The purpose of simulation model is to determine the appropriate role based on each type of project. The results of the simulation model are in the form of a percentage of each role needed, the project manager has the largest percentage compared to other roles, which is 70% in small-scale projects and 65% in large-scale projects.

scholarly journals Economic and Mathematical Modeling of the Direct Effects of Large-Scale Infrastructure Projects on Developing Territories

2019 ◽  
pp. 78-89
Author(s):  
Olga Patrakeeva
Keyword(s):  
Economic Growth ◽  
Simulation Model ◽  
Large Scale ◽  
System Analysis ◽  
Distribution Functions ◽  
Management Policy ◽  
Infrastructure Projects ◽  
Railway Transport ◽  
Krasnodar Krai ◽  
The Impact

The problem of assessing the effects of infrastructure projects for territories is debatable. Modeling experience has been accumulated today, and elaborated macroeconomic models allow to identify causal relationships between the indicators of transport development and economic growth. The goal of this article is to define a simulation model of assessing the impact of transport projects on the economic growth of Krasnodar Krai exemplified by the Crimean Bridge project. The solution of this scientific problem requires taking into account different factors and complicated interrelationships within the framework of the regional social and economic system under consideration, using methods of system analysis and tools of economic and mathematical simulation. The simulation model reflects the scenario parameters of the capital management policy, highway transport freight turnover, highway transport freight turnover directly connected with the construction of Kerch Straight Bridge, carriage of goods by railway transport, carriage of goods by railway transport directly connected with the construction of Kerch Straight Bridge. The interrelations of this model’s parameters are established by the econometrics methods. In accordance with the produced scenarios the expected median values of the additional increment of the Krasnodar Krai GRP due to the increment of transportation associated with the Crimean Bridge operation are in the range between 0.97 % and 1.1 %. The most conservative scenario presumes the median value of 0.97 % and lower limit of 0.8 %. This tool can be used to assess the direct effect of railway and road construction for other Russian regions. The proposed simulation model will be further expanded by including further distribution functions of scenario variables and additional structural relationships.

Evaluating the Effects of Transportation—Land-Use Policies on Housing Values and Household Welfare

1980 ◽  
Vol 12 (7) ◽  
pp. 747-764 ◽  
Author(s):  
A Anas
Keyword(s):  
Simulation Model ◽  
Discrete Choice ◽  
Transportation Planning ◽  
Large Scale ◽  
Travel Demand ◽  
Choice Theory ◽  
Property Values ◽  
Computationally Efficient ◽  
Demand Prediction ◽  
The Impact

In a previous article published in this journal (Anas, 1979a), a simulation model developed by the author was used to examine the impact of transit investment on property values in an urban transportation corridor that had a completely centralized employment distribution. The present paper examines the effect of rail-transit investment in the context of various scenarios which deal with urban employment decentralization, housing distribution, transportation pricing, and income composition. From these simulations it appears that under a variety of assumptions regarding urban change the taxation of short-run differential changes in property values caused by transit investment can raise only a small portion of the cost of typical transit investments. The distinctive feature of the simulation model is that it is consistent with the discrete-choice theory of travel demand currently used in transportation planning and travel-demand prediction. But whereas the state of the art in transportation planning ignores the simultaneity of transportation changes and price changes in the housing market, the model developed here is a first attempt to deal with these effects by incorporating discrete-choice theory into a Walrasian market-equilibration procedure. In addition to being a theoretical alternative to the classical bid-rent model, still made use of by urban economists, the new approach is computationally efficient and suitable for large-scale simulation.

scholarly journals Modeling Patterns of Land Use in Chinese Cities Using an Integrated Cellular Automata Model

2018 ◽  
Vol 7 (10) ◽  
pp. 403 ◽  
Author(s):  
Yanlei Feng ◽  
Yi Qi
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Simulation Model ◽  
Large Scale ◽  
Driving Forces ◽  
Simulation Models ◽  
Simulation Studies ◽  
Cellular Automata Model ◽  
Urban Simulation ◽  
Land Use And Cover

This paper introduces an urban growth simulation model applied to the full scope of China. The model uses a multicriteria decision analysis to calculate the land conversion probability and then integrates it with a cellular automata model. A nonlinear relationship is incorporated in to the model to interpret the impacts of different Land Use and Cover Change driving forces. The Analytical Hierarchical Process is also implemented to compute the variance between weights of different factors. Multiple sizes of neighborhood and different urban ratios in the model rules are tested, and a 5 × 5 neighborhood and an urban threshold of 0.33 are chosen. The study demonstrates the importance of spatial analysis on socioeconomic factors, population, and Gross Domestic Product in land use change simulation modeling. The model fills the gap between the purely economic theory simulation model and the geographic simulation model. The nationwide urban simulation is an example that addresses the lack of urban simulation studies in China and among large-scale simulation models.

History to Prediction Transition Calibration of Reservoir Simulation Model Ensemble

2021 ◽  
Author(s):  
Bjørn Egil Ludvigsen ◽  
Mohan Sharma
Keyword(s):  
Simulation Model ◽  
Reservoir Simulation ◽  
History Matching ◽  
Simulation Models ◽  
Productivity Index ◽  
Model Parameters ◽  
Gas Oil ◽  
Well Performance ◽  
Reservoir Simulation Model ◽  
Water Cut

Abstract Well performance calibration after history matching a reservoir simulation model ensures that the wells give realistic rates during the prediction phase. The calibration involves adjusting well model parameters to match observed production rates at specified backpressure(s). This process is usually very time consuming such that the traditional approaches using one reservoir model with hundreds of high productivity wells would take months to calibrate. The application of uncertainty-centric workflows for reservoir modeling and history matching results in many acceptable matches for phase rates and flowing bottom-hole pressure (BHP). This makes well calibration even more challenging for an ensemble of large number of simulation models, as the existing approaches are not scalable. It is known that Productivity Index (PI) integrates reservoir and well performance where most of the pressure drop happens in one to two grid blocks around well depending upon the model resolution. A workflow has been setup to fix transition by calibrating PI for each well in a history matched simulation model. Simulation PI can be modified by changing permeability-thickness (Kh), skin, or by applying PI multiplier as a correction. For a history matched ensemble with a range in water-cut and gas-oil ratio, the proposed workflow involves running flowing gradient calculations for a well corresponding to observed THP and simulated rates for different phases to calculate target BHP. A PI Multiplier is then calculated for that well and model that would shift simulation BHP to target BHP as local update to reduce the extent of jump. An ensemble of history matched models with a range in water-cut and gas-oil ratio have a variation in required BHPs unique to each case. With the well calibration performed correctly, the jump observed in rates while switching from history to prediction can be eliminated or significantly reduced. The prediction thus results in reliable rates if wells are run on pressure control and reliable plateau if the wells are run on group control. This reduces the risk of under/over-predicting ultimate hydrocarbon recovery from field and the project's cashflow. Also, this allows running sensitivities to backpressure, tubing design, and other equipment constraints to optimize reservoir performance and facilities design. The proposed workflow, which dynamically couple reservoir simulation and well performance modeling, takes a few seconds to run for a well, making it fit-for-purpose for a large ensemble of simulation models with a large number of wells.

Construct a computer simulation model to replicate CT operations for decreasing delayed procedure starts.

2014 ◽  
Vol 32 (30_suppl) ◽  
pp. 132-132
Author(s):  
Ranganath K. Iyer ◽  
Joseph Rodgers Steele ◽  
Habib Tannir ◽  
Steve Venable
Keyword(s):  
Simulation Model ◽  
Discrete Event ◽  
Wait Time ◽  
Simulation Models ◽  
Simulation Software ◽  
Operating Efficiency ◽  
Computer Simulation Model ◽  
Ct Scanner ◽  
Additional Time ◽  
The Impact

132 Background: Patients scheduled to undergo computed tomography (CT) should be treated expeditiously and not delayed owing to a lack of either CT scanner capacity or available staff. Delayed scanning affects both patients and staff in several ways. First, patients are unhappy that they have to wait. Also, delayed scanning makes patient late for their next appointments or other events, which affects the downstream departments’ capability to operate effectively and efficiently. In addition, radiologists and their staff have to commit additional time and resources to processing patients on time. Finally, variability in the placement of patients reduces the scanner’s operating efficiency. The aim of this initiative is to optimize the appointment template using simulation software to reduce the rate of delayed CT procedures by 25% or more by the end of 2014. Methods: To further understand the CT queuing process, we hired 2 graduate students to create a simulation model using the data collected from the operations study. The simulation study modeled patients’ experience from their arrival to discharge and the steps were: (a) performed elemental analysis for each process; (b) cceated value stream map; (c) created high-level simulation model and “mini model” using operational data. The simulation models were presented to department leaders, who approved them. The models clearly showed that the time patients spent on the CT scanner was the bottleneck. Results: Changes in the CT area that have impacted on-time starts and average wait time include: (a) new fast-track for no interview patients and (b) changes in staffing hours. Progress and improvement include (a.) On-time delays decreased by 18% and (b.) a verage wait decreased by 8 minutes (19%). Conclusions: Discrete event simulation accounts for the probabilities and uncertainties associated with the processes and helps create a visual model of the work area. This adds confidence to decision makers’ ability to make decisions that have high impact. Also, the models can be used to test changes in the processes and study the impact on other processes without making true operational changes that could potentially waste resources and time.

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