Support and teach training courses of commercial schlumberger reservoir simulation software. Have good experience with well test analysis using pansys and saphir. Dec 15, 2015 history matching is an important phase in reservoir modeling and simulation process, where one aims to find a reservoir description that minimizes difference between the observed performance and the simulator output during historic production period. Feb 21, 2017 history matching sometimes referred to as reservoir model validation is a process that helps reservoir engineers to validate reservoir models using production history data. With a calibrated reservoir model, there is greater predictive strength to forecast how production will continue, thus indicating more efficient recovery schemes for future. A comprehensive software suite placing uncertainty management at the heart of decisionmaking, our comprehensive software suite from seismic interpretation to production management helps operators make better decisions, leading to improved returns on investment. Mepo facilitates use of parallel processing of reservoir simulation runs and global optimization technology to make reservoir engineering work more efficient and consistent with the new geologic modelling practices. Engineeringreservoir simulation software eclipse, intersect, mepo, petrel re, etc.
Bjorn egil has special expertise in computer assisted history matching and uncertainty assessment and had an important role in building up the mepo software. Mepo multiple realization optimizer schlumberger software. Reservoir simulations are a key tool in this process. Reservoir simulation is an area of reservoir engineering in which computer models are used to predict the flow of fluids typically, oil, water, and gas through porous media under the model in the broad scientific sense of the word, they understand a real or mentally created structure that reproduces or reflects the object being studied. Reservoir management revolutionising history matching. Schematic diagram of general modeling workflow including the following elements. Jan 22, 2015 the closedloop reservoir management technique enables a dynamic and realtime optimal production schedule under the existing reservoir conditions to be achieved by adjusting the injection and production strategies. For the automatic history matching problem through reservoir characterization, a global optimization method called adaptive genetic algorithm. Pressure matching for hydrocarbon reservoirs 5 while we discuss these issues in the context of history matching, they are similarly relevant for the analysis of any large computer model. Spt group unveils new reservoir management software. The act of adjusting a model of a reservoir until it closely reproduces the past behavior of a reservoir. Hamada shaqlouf senior reservoir engineer wintershall. The global optimization algorithms are applied to calibrate.
Greatly accelerate the history matching users report a time improvement up to a factor of 4 on achieving a history match. Dec 05, 2011 spt group has launched mepo 4, the next generation of its market leading solution for optimising reservoir flow models. Once a model has been history matched, it can be used to simulate. Victor omar segura cornejo senior reservoir engineer. Reservoir characterization 2019 norsk petroleumsforening. The mepo optimizer provides a structured history matching approach. Automatic or assisted history matching is the idea of automatically identifying the most sensitive reservoir parameters and their ranges on the reservoir model. The course will discuss manual and assisted history matching methods and also, inverse modeling techniques and. History matching of naturally fractured reservoirs is especially challenging, particularly when. History matching is an important phase in reservoir modeling and simulation process, where one aims to find a reservoir description that minimizes difference between the observed performance and the simulator output during historic production period.
The course will discuss manual and assisted history matching methods and also, inverse modeling techniques and the pros and cons of the methods. Mepo can be used to improve your reservoir decisions in a number of areas from determining the best locations for infill wells, to selecting the optimal development scenario, understanding uncertainty, or semiautomating laborious tasks such as history matching. Mdt pressure testing and sampling supervision offshore and results analysis. Full field development study included model history matching and prediction. While running an optimization for history matching, the ranges of uncertainty parameters have been narrowed and adjusted the ranges to be used for quantification of uncertainty of estimated ultimate recovery eur. Its mepo suite of productivity tools for interactive history matching, uncertainty quantification and production optimization has revolutionized reservoir engineering and is now used by oil and gas companies worldwide. Quantification of uncertainty of reserves with high quality. Reservoir management revolutionising history matching and. Enable is also used to quantify production estimates under reservoir. Traditionally, history matching of the reservoir model has been done manually. Model selection and uniqueness analysis for reservoir history. Unprecedented reliability and stability, far fewer tuning controls, and minimal tuning requirements allow you to spend your time studying the reservoir instead of fighting the model.
History matching and forecasting is intended to be a concise introduction to the areas of history matching and reservoir forecasting for those who interact with the reservoir engineer e. Mepo is a spt group owned software solution supporting use of reservoir simulation in the oil and gas industry. The historical production and pressures are matched as closely as possible. History matching and reservoir optimization hmro petroskills. Spt group is a leading provider of dynamic modeling tools for the oil and gas industry. Vitally, the software works in harmony with your existing reservoir simulator, and is. Third party tools for the sensor reservoir simulator. In recent years bjorn egil was the rc representative for maersk oil on the johan sverdrup field development and currently works as lead reservoir engineer digitalization in aker bp. There are two steps in closedloop reservoir management. This course is designed to introduce the application of mepo to reservoir engineers. Wazed is a highly skilled reservoir engineer with vast experience in reservoir simulation, history matching, asset economic evaluation, developmental scenario planning, uncertainty management and. Reservoir simulation using commercial softwares eclipse, tnavigator and cmg uncertainty analysis and history matching mepo and tnavigator eor screening.
Spt group has released mepo 4, the next generation of its market leading solution for optimising reservoir flow models. History matching of petroleum reservoirs employing. Enable is a history matching and uncertainty assessment software designed to be used in the oil and gas industry. Cmost studio and mepo software did much work, automatic closedloop reservoir. Our team is responsible for mepo, spt groups reservoir history matching and forward modelling solution, as well as other related products. Explore the impact of reservoir modeling on a mature and geologically complex offshore middle east field, with the software suite used playing a key role in exploring the fields upside potential. Mepo software improves your reservoir decisions in a number of areas, including determining the best locations for infill wells, selecting optimal development scenarios, understanding uncertainty, and semiautomating laborious tasks such as history matching. History matching sometimes referred to as reservoir model validation is a process that helps reservoir engineers to validate reservoir models using production history data. Microsoft expands highperformance computing partner. Quantification of uncertainty of reserves with high. Reservoir engineering focuses on calibrating the reservoir understanding with the production history that is observed across a field, also known as history matching. Used by oil and gas companies for risk reduction, uncertainty management, well location optimisation and assisted history matching, mepo helps reduce cost and cycle times at all stages of the reservoir management decision chain. A simplified method for petroleum reservoir history matching s. Spt group has launched mepo 4, the next generation of its market leading solution for optimising reservoir flow models.
Skilled with analytical reservoir engineering tools, such as material balance calculations for oil and gas reservoir, reservoir fluid in place and. The biggest challenge that faces the simulation engineer during this critical phase is that, several combinations of reservoir history matching parameters might be satisfactorily matching the past dynamic behavior of the system which makes the process illposed due. We design customized training courses with extreme focus on history matching, probabilistic forecasting and decision making under uncertainty. The reservoir management consists on the application, within a given fiscal and contractual frame, of wellestablished industrial technologies and field best practices to a hydrocarbon reservoir, in order to efficiently perform the field operations and maximize the economic return of the investments. Mepo is one of the global optimization tools for reservoir history matching which has. Vitally, the software works in harmony with your existing reservoir. Both automatic history matching and reservoir production. Make sound reservoir performance predictions with a proven mathematical approach that quantifies reservoir uncertainty.
Reservoir simulation is an area of reservoir engineering in which computer models are used to predict the flow of fluids typically, oil, water, and gas through porous media. Uncertaintieserrors propagate from seismic interpretation through geolo. For the automatic historymatching problem through reservoir characterization, a global optimization method called adaptive. This course is designed to cover techniques to incorporate production data into highresolution reservoir models using conventional and fast flow simulation techniques such as streamline models. Pdf history matching of the valhall field using a global. Working in tandem with the reservoir simulator, tempest tm enable can be employed at any stage of a fields life, with or without historical data.
The closedloop reservoir management technique enables a dynamic and realtime optimal production schedule under the existing reservoir conditions to be achieved by adjusting the injection and production strategies. It optimizes plans and reduces costs by accelerating history matching process and improving reservoir understanding. This course is designed to cover stateoftheart techniquesworkflows for history matching geologic and reservoir models for both conventional and unconventional reservoirs. Dynamic reservoir simulation is used to forecast ultimate hydrocarbon recovery on the basis of a given production scheme, or to compare the economics of different. Reservoir simulation using commercial software s eclipse, tnavigator and cmg uncertainty analysis and history matching mepo and tnavigator eor screening. We work in the design of optimal workflows to anticipate, mitigate and manage uncertainty and its consequences in mepo, cougar and petrel. Reservoir modeling is the final step in the reservoir characterization process, and consists of building an upscaled geologic model for input to the fluidflow numerical simulator. Development of a helpful software for automatic model selection. The focus of this study is to assess the valhall field reservoir. Once a model has been history matched, it can be used to simulate future reservoir behavior with a higher degree of confidence, particularly if the adjustments are constrained by known geological. These sensitivity runs allows optimizing and quantifying uncertainty in full reservoir models, which eventually help reservoir engineers to achieve the most reliable history matching result. This paper provides a study of a history match on a complex. Sameer chhabra regional reservoir engineer asia pacific.
Model selection and uniqueness analysis for reservoir. Reservoir modeling and simulation, uncertainty quantification, history matching, automated history matching, design of experiments, data analysis, decision analysis, waterflooding, reserves. The accuracy of the history matching depends on the quality of the reservoir model and the quality and quantity of pressure and production data. The biggest challenge that faces the simulation engineer during this critical phase is that, several combinations of reservoir history matching parameters might be satisfactorily matching the past dynamic behavior of the system which makes the process illposed due to the nonuniqueness solution issues. History matching, within the context of oil reservoir simulation, entails the adjustment of the geological description, or other model parameters, in order to achieve agreement between simulation predictions and actual production data. Tempest tm enable goes far beyond manual simulations, concurrently evaluating all engineering data and tolerances and driving the simulator through hundreds of realizations rather than only a few like typical simulators. Sensor compositional and blackoil reservoir simulation. Jenspetter norgard, mepo, scandpower petroleum technology as traditionally, history matching of the reservoir model has been done manually and methods from the 1980s are still widely used. A new procedure for history matching naturally fractured.
Field development concepts evaluation, screening, selection. History matching of petroleum reservoirs employing adaptive. Expertise in using petroleum expert software package mbal, prosper, gap, pvtp. We set up the project in mepo and identified the initial uncertain parameters. Runs are usually launched sequentially, all files are prepared manually and the evaluation is done by visually comparing line plots. This is one of the most effective ways to exploit limited oil reserves more economically and efficiently. What is the importance of history matching in reservoir. A simplified method for petroleum reservoir history matching. Sensitivity, subsurface uncertainty assessment, and history matching studies for calibrating reservoir simulation models are integral workflow tasks in many reservoir simulation studies.
Assisted history matching and predictive optimization solutions using lynx nitec, mepo, and enable. Provide support intensively to full field development study included model history matching and prediction. Chi luong van reservoir engineer schlumberger linkedin. As an engineer on the mepo team, your responsibilities will range from developing and improving the mepo software solutions, to participating in pilot projects with clients. Dec 05, 2011 spt group has released mepo 4, the next generation of its market leading solution for optimising reservoir flow models. Stanford libraries official online search tool for books, media, journals, databases, government documents and more. Have good experience with assisted history matching, uncertainty quantification and optimization analysis using mepo and cmost. Development and introduction of mepo now schlumberger software for history matching and uncertainty assessment to the oil industry. Darya shingaiter senior reservoir engineer schlumberger. The course is designed to provide the petroleum engineers with software skill and. History matching in its essence is the selection of reservoir models which best match the reservoir data static and dynamic.
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