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Reservoir simulation is used to optimize the design of multilateral wells, where the parameters include the well path, well position, the completions design (e.g. ICD configuration), the production constraints and uncertainty from multiple realizations of a geological model. The target application is the design of new multi-lateral complex wells within an established large study. The optimized well is included in the prediction scenario of a history matched model. The target full field models are very large (millions of cells) and have large amounts of wells (hundreds). The parameterization of the well path and position is performed by constraining the well path to surfaces, and geometric translation. Laterals are independently parameterized allowing the tie-in depth, angle and length to be parameterized. Completion design is parameterized by compartment length, number of valves per compartment and valve inflow diameter. The complex completion design relies on advanced well modeling features of the reservoir simulator. Production constraints, such as target oil rates and water limits are considered within the optimization. Finally, the uncertainty from multiple geological realizations is accounted for; this is achieved by introduction of a risk aversion factor which penalizes the objective function by a scaled standard deviation. Examples of optimization demonstrate long multi-lateral wells being optimized within a Full field study. The sensitivity of each parameter is studied, i.e. the effect of oil production on the well position, effect of modifying ICD inflow area, the ICD compartment length, the water handling limits, and the geological uncertainty. The major significance of this work is the provision of a system to enable engineers to produce an optimal well configuration given geological, production, well placement and completion (ICD) uncertainties in a timely fashion. The use of optimization assists the engineer in designing an optimal solution given many variables.
Reservoir simulation is used to optimize the design of multilateral wells, where the parameters include the well path, well position, the completions design (e.g. ICD configuration), the production constraints and uncertainty from multiple realizations of a geological model. The target application is the design of new multi-lateral complex wells within an established large study. The optimized well is included in the prediction scenario of a history matched model. The target full field models are very large (millions of cells) and have large amounts of wells (hundreds). The parameterization of the well path and position is performed by constraining the well path to surfaces, and geometric translation. Laterals are independently parameterized allowing the tie-in depth, angle and length to be parameterized. Completion design is parameterized by compartment length, number of valves per compartment and valve inflow diameter. The complex completion design relies on advanced well modeling features of the reservoir simulator. Production constraints, such as target oil rates and water limits are considered within the optimization. Finally, the uncertainty from multiple geological realizations is accounted for; this is achieved by introduction of a risk aversion factor which penalizes the objective function by a scaled standard deviation. Examples of optimization demonstrate long multi-lateral wells being optimized within a Full field study. The sensitivity of each parameter is studied, i.e. the effect of oil production on the well position, effect of modifying ICD inflow area, the ICD compartment length, the water handling limits, and the geological uncertainty. The major significance of this work is the provision of a system to enable engineers to produce an optimal well configuration given geological, production, well placement and completion (ICD) uncertainties in a timely fashion. The use of optimization assists the engineer in designing an optimal solution given many variables.
ADMA-OPCO is currently in progress of optimizing the development plans for several offshore undeveloped Abu Dhabi oil fields. A common basis in these developments is the incorporation of Intelligent Oil Field Concepts to improve recovery, safety and operating costs. This requires the application of several new technologies amongst which Smart Completions is seen as a challenging opportunity. These completions incorporate a combination of Permanent Downhole Gauges (PDHG), Inflow Control Devices (ICDs) and Multi Lateral Tie Back Systems (MLTBS) in various completion configurations. One of these reservoirs addressed in this paper is targeted to be developed via a 5-Spot water injection pattern. Due to the high heterogeneity of carbonate reservoirs, premature water breakthrough is a major concern. The planned well configuration will add significantly to the development Drilling CAPEX, hence understanding and quantifying the benefits of utilizing ICDs and MLTBS technology is required. Throughout this paper, the work flow used to assess the added values of ICDs and MLTBS has been presented based on sector models carefully extracted from the full field static model. These sector models target the key areas of the field where these smart wells are planned to be drilled. A history match process has been performed for model validation and to preserve the fine scale heterogeneity across the reservoirs. Approaches used for modeling these completion components using simulation software are discussed in this paper. The results obtained from this study have shown a positive impact of MLTBS whereas the ICDs implementation has shown no significant improvement in the ultimate recovery compared to the conventional open hole completion except the establishment of uniform flow distribution form heel to toe. Additionally, several different realizations have been undertaken to investigate the key uncertainties associated with such results and these realizations were compared to results obtained from a similar study performed on an adjacent field being developed by ADMA-OPCO. Lessons learnt were captured and summarized.
Inflow Control Devices (ICDs) are typically deployed as parts of the lower well completion in horizontal wells to equalize the pressure drop along the drain length and to achieve a uniform flow through the formation. Therefore, ICDs can delay undesired water or gas breakthroughs and maximize the reservoir recovery, particularly when producing from heterogeneous reservoirs. However, by imposing additional pressure drops across segments, ICDs can reduce the production potential in the early stages of well life. This paper presents a novel design methodology, using dynamic reservoir modeling, to make ICDs responsive to the well flowing conditions and to eliminate the pressure drops across segments in early well life by using the shifting technique. The reservoir contains several sublayers and exhibits significant contrast in rock and fluid properties. The horizontal oil producer targets all sublayers simultaneously. A five-spot water injection pattern is planned to maintain the reservoir pressure. Usually, ICDs are designed based on well models that do not cover the entire expected well life. In our methodology, we rely on the dynamic reservoir model to predict changes of pressure and fluids along the drain and to find the optimal ICDs design that can respond to these changes. Sliding sleeves are combined with ICDs to allow choking back unwanted water production over time. Moreover, the design is tested with a systematic sensitivities approach for different well and reservoir conditions to ensure a robust design against reservoir uncertainties. The proposed completion design methodology was successfully implemented in a horizontal well crossing a layer-cake heterogeneous carbonates reservoir in offshore Abu Dhabi. The well deliverability analysis suggests that the well cannot produce more than 25% water cut without artificial lift. Sensitivities were conducted at varying water cuts for each ICD compartment in addition to specific sensitivities for the high permeability compartments. To reach the optimal completion design, reservoir simulations were used to evaluate the benefits of various combinations of ICDs and nozzles sizes and their overall impact on well performance. The optimal design consisted of five compartments in the horizontal section with 14 ICDs and proved to be more effective in delaying water breakthrough into the compartments with high permeability without affecting the initial production rates. The benefits of ICDs are well known in the industry to equalize the well flux based on permeability contrast by choking production selectively. The novel technique presented in this paper eliminates the choking effect on proction during the early well life while retaining the full benefits of ICDs for later stages; using the shifting technique, the offending layers can be choked back or closed completely to maximize oil production rates and reserves.
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