Intelligent Completions Customized to Meet the Challenges of Malaysia Reservoirs: Work Flow and Case Histories (original) (raw)
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The appropriate inflow control valve (ICV) design plays an important role for achieving adequate proactive reservoir management, production management and improving oil recovery. The smart completion consisting of custom designed inflow control valves along with downhole gauges are proven to be the great tool for maximizing sweep efficiency in Minagish Field, West Kuwait. The demonstrated benefits include reduction of unwanted water production, equalization of inflow profile, elimination of cross flow across laterals in multilateral wells and optimization of water injection allocation resulted in increasing sustained well productivity and maximizing oil recovery. Further the downhole gauges provides required reservoir surveillance data on real time for effective reservoir and production monitoring. Moreover the real time surveillance and production control capabilities over entire well life enabled ability to take necessary actions at right time for facilitate defensive as well as proactive reservoir management. In addition the intelligent wells are proven to control the distribution of oil, water and gas in a well between different layers, compartments or reservoirs having high degrees of anisotropy and heterogeneity. The smart completions having optimally designed downhole inflow control valves are implemented in oil producers, water injectors, multilateral wells with ESP (Electrical Submersible Pump) and smart dump flood water injectors in Minagish Field. An integrated novel workflow is developed and multidisciplinary team approach was followed for planning and design of smart completions by considering reservoir properties, geological data, petro-physical data and related uncertainties. Further the various production scenarios, well management scenarios, reservoir dynamics, reservoir uncertainties and reservoir management objectives were considered to select the most appropriate flow trim design of multi-position inflow control valves for wells having multi-zone intelligent completion, smart multilaterals and smart dump flood completions. Also, the right flow control option is included in well design, as it has an impact on the number of zones/intervals that can be realistically controlled in one well, and may affect the overall reliability of the integrated system. Previous field experiences have shown that the resulting benefits are diminished when the front end engineering does not considered suitable inflow control valve design and choke setting tailored to reservoir requirements and inherent uncertainties. The consequences of poor inflow control valve design is realized and found that only few choke positions are usable resulting in non-optimum well performance. Lessons learned from previous wells were incorporated in the new smart wells design and integrated workflow is developed by including the reservoir properties, reservoir dynamic response (e.g. water encroachment and time to breakthrough) and well operating constraints. The paper covers a novel workflow for inflow control valve design and chokes setting stepping distribution that assimilates reservoir properties, wellbore and production constraints. Also the paper details about established reservoir management and production management achieved by properly designed intelligent completions supported with long term well performance results.
Use of Smart Controls in Intelligent Well Completion to Optimize Oil Gas Recovery
Journal of Engineering Research and Reports, 2019
For the past few years, the oil and gas industry has faced several economic, geographic and technical challenges largely due to decline in crude oil prices and market volatility. In the quest to address some of these challenges to accelerate production and subsequently maximize ultimate recovery, operators are limited to remote hydraulic and electro-hydraulic monitoring and control of safety valves providing the means of obtaining downhole production data which demands periodic well intervention-based techniques with risk of loss of associated tools. This has highlighted the need for companies to adopt new technology to take advantage of low crude oil price environment, optimizing recovery without interventions and with minimal production interruption. One of the recent improvements in production technologies which can remedy these problems having unique capabilities to do so is the Intelligent Well Completion (IWC) technology. In this paper the utilization of IWC to optimize oil recovery was evaluated. The use of a reservoir simulator, the Schlumberger ECLIPSE-100 simulator, was employed to model an intelligent well. Case study simulations were performed for an active bottom-water drive. Modeling of the Intelligent Well Inflow Control Devices (ICDs) and downhole sensors for the multilaterals was achieved using the Multi-Segment Well model. Optimal IWC technology combination for maximum hydrocarbon recovery and minimal water
Proceedings of European Petroleum Conference, 2002
The full-length paper describes the integration of intelligent well system technology into a conventional openhole sandface completion in a deepwater reservoir. In deepwater subsea applications, the ability to remotely control water inflow can eliminate costly rig intervention while extending well life and increasing recoverable reserves. This was the first integration of an all electric, remotely operated intelligent well system into a well requiring lifetime sand control and zonal isolation.
Energies, 2023
Multilateral wells (MLWs) equipped with multiple flow control devices (FCDs) are becoming increasingly favored within the oil sector due to their ability to enhance well-to-reservoir exposure and effectively handle unwanted fluid breakthrough. However, combining various types of FCDs in multilateral wells poses a complex optimization problem with a large number of highly correlated control variables and a computationally expensive objective function. Consequently, standard optimization algorithms, including metaheuristic and gradient-based approaches, may struggle to identify an optimal solution within a limited computational resource. This paper introduces a novel hybrid optimization (HO) framework combining particle swarm optimization (PSO) and Simultaneous Perturbation Stochastic Approximation (SPSA). It is developed to efficiently optimize the completion design of MLWs with various FCDs while overcoming the individual limitations of each optimization algorithm. The proposed framework is further enhanced by employing surrogate modelling and global sensitivity analysis to identify critical parameters (i.e., highly sensitive) that greatly affect the objective function. This allows for a focused optimization effort on these key parameters, ultimately enhancing global optimization performance. The performance of the novel optimization framework is evaluated using the Olympus benchmark reservoir model. The model is developed by three intelligent dual-lateral wells, with inflow control devices (ICDs) installed within the laterals and interval control valves (ICVs) positioned at the lateral junctions. The results show that the proposed hybrid optimization framework outperforms all industry-standard optimization techniques, achieving a Net Present Value of approximately USD 1.94 billion within a limited simulation budget of 2500 simulation runs. This represents a substantial 26% NPV improvement compared to the open-hole case (USD 1.54 billion NPV). This improvement is attributed to more efficient water breakthrough management, leading to a notable 24% reduction in cumulative water production and, consequently, a 26% increase in cumulative oil production.
IOS Press eBooks, 2022
One of the major problems faced by the oil industry is the problem of unwanted water production. High rates of unwanted water production in a well can make the well uneconomical and reduces the good lifespan. The paper studies the problems faced by a field experiencing a large amount of unwanted water production in the majority of its wells. The data gathered from one of the Indian Western Offshore Oil Fields have been analyzed to identify the problems faced in several wells. Also, the initiatives taken by the company to control high water cut has been discussed. Understanding the water shut-off methods used for mitigating the problem of high water cut and their efficiency, the availability of various Inflow Control Systems for well completion to prevent unwanted water production is studied. Studying the performance of these systems from numerous case studies and literature surveys for mitigating unwanted water production, the paper provides a complete strategy for water control in horizontal wells for different reservoir properties and for future redevelopment plan of the Indian Western Offshore Field followed by the conclusion.
Comparative Study between Smart Controls and Conventional Bottom Hole Completions
Journal of Petroleum Engineering & Technology , 2016
This research project made use of Schlumberger's " ECLIPSE 100 " reservoir simulator to predict the performance of a reservoir with an overlying gas cap and an underlying aquifer (i.e., a three-phase Water-Oil-Gas reservoir) under conventional BHC techniques. Additional work was done to ascertain the suitability of incorporating an Intelligent Well (IW) to deal with water production problem by placing Inflow Control Valves (ICV) at particular segments in the well to monitor and control fluid flow. Comparing BHCs, it was found out that open hole completion yielded the maximum performance whereas gravel pack completion yielded the least. The simulation yielded FOEs of 13.27, 13.04, 13.02 and 12.98% for open hole, cased hole, perforated liner and gravel pack completions, respectively. Application of the intelligent well (IW) as opposed to the conventional cased hole well yielded a 4.06% increment in FOE. The project yielded a 41% reduction in water cut by the intelligent well compared to the conventional well. These were all due to the open-close action of the valves employed in the intelligent well model. This justified the applicability and suitability of intelligent wells in improving oil production by solving unnecessary water production, thus providing better returns on investment.
Journal of Earth Energy Engineering
Completion systems are important components of hydrocarbon field development. As the link between the reservoir and surface facilities, completions need to be designed to maximize hydrocarbon recovery and withstand consistently changing conditions for years, within the safety requirements. However, designing completion for a well comprising a multi-layer and multi-fluid reservoir is quite challenging. The completion design must use the right materials and be able to safely produce single, as well as commingle products, and add any artificial lifts, depending on the method with the most optimum value. This paper, therefore, discusses the model development of completion design for an offshore well AA-01, one of the offshore wells with multi-layer and multi-fluid reservoir systems in Indonesia. Well AA-01 penetrates two productive layers, the upper layer AA-U1, and the lower layer AA-L2. The upper layer is a gas reservoir with initial gas in place of 1440 MMSCF, while the lower layer i...
Improving development profit by using reservoir based completion
Petroleum Exploration and Development, 2008
Implementation of well completions enabling multiple hydrocarbon reservoirs to be produced by a single well can save production cost and enhance recovery. Aiming at the characteristics of the three types of oil and gas reservoirs in the Jabung block in Indonesia, namely, gas cap oil-rim reservoirs, multiple hydrocarbon reservoirs, and heterogeneous multiple-sand reservoirs, this article puts forward optimized completion methods by using conventional technology and down-hole equipment. The new methods are able to develop multireservoir sands at the same time or successively without additional completion jobs. In addition, the novel completion enables water injection wells to selectively control injection and improve the recovery of hydrocarbons. The above strategies have been applied to different types of reservoirs, providing an effective mean for maximizing hydrocarbon recovery, controlling operating expenditures, and improving the overall benefit of development wells.
International Petroleum Technology Conference, 2014
For thin oil-rim reservoirs, well placement, well type, well path and the completion methods shall be evaluated with close integration of key reservoir and production engineering considerations. This involves maximizing reservoir fluid contact and drainage, optimizing the well productivity, and optimizing well life-cycle production profile along the wellbore. Field implementation cases in Malaysia have been shown that this integrated approach to design and drill horizontal wells can significantly minimize the well count, enhance the well performance, and improve the ultimate recovery per well in thin oil-rim reservoirs with varying reservoir complexity and uncertainties. 45 horizontal wells were progressively drilled and all completed with ICD in a relatively flat thin oil-rim reservoir offshore in peninsular Malaysia. In this successful oil development, well path between the GOC and OWC was optimized to delay the water breakthrough and reduce the decline trend in different reservoir sectors with varying horizontal well length up to > 2,000 m. Good performance of the ICD was confirmed by PLT surveys and by tracer effluents evaluation with different type of tracers implemented in various sections of the horizontal well completion.