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Perforation erosion and consequential changes to perforation friction pressure have a significant practical influence on limited entry hydraulic fracturing treatments and have been comprehensively documented (Cramer 1987), (Crump, Conway 1988), Long (2015) and others. Both effects are widely acknowledged but undesirable phenomena that stimulation specialists encounter and must mitigate during every treatment. The emergence of the alternative fracture diagnostic method described in this paper means however that perforation erosion can also have beneficial consequences for those trying to diagnose and optimize fracturing performance. The latest generation of borehole video cameras efficiently capture high definition images of erosion to individual perforations after hydraulic fracture treatment. Qualitative and quantitative evaluation of these images allow confirmation of proppant placement and fracture initiation depths that are resolved to the location of individual perforations. The methods described updates the previous work of Roberts, Lilly and Tymons (2018) to now directly quantify perforation erosion. This improves the identification of clusters that have been successfully stimulated against those that are under or over-stimulated. Measurement and comparison of perforation erosion, area, diameter and azimuth permit a statistical evaluation of the consistency of fracture distribution across clusters and stages. In their goal for optimal recovery Stimulation Engineers, Geoscientists and Reservoir Engineers evaluating treatment success have a fundamental question to answer - where exactly did the frac go? This apparently simple question has hitherto proven difficult, and costly, to answer. We demonstrate that evaluating perforation erosion provides straightforward and intuitive data to precisely confirm proppant placement, define the origin of individual fractures and help quantify treatment distribution. We present results illustrating the effectiveness of the method including examples of acquired perforation images. New methods are introduced demonstrating evaluation techniques used to confirm proppant transport through specific perforations, fracture initiation and treatment consistency. Initial work to demonstrate in-situ correlation between erosion and pumped proppant volume / weight is presented. We conclude that the method can be successfully applied to evaluate changes to stimulation treatment design parameters such as stage length, cluster number and spacing, proppant and fluid properties, pumping criteria and many aspects of perforation design including perforation charge type, count per stage and cluster and shot orientation. Existing hydraulic fracture diagnostic methods are limited in number, scope and sometimes accuracy. Analysis of in-situ perforation erosion using visual analytics provides an additional and complementary data source to evaluate the success of engineered treatment programs. The method provides measurements at a depth resolution that is not otherwise possible, allowing specific entry holes and fracture initiation points to now be evaluated.
Perforation erosion and consequential changes to perforation friction pressure have a significant practical influence on limited entry hydraulic fracturing treatments and have been comprehensively documented (Cramer 1987), (Crump, Conway 1988), Long (2015) and others. Both effects are widely acknowledged but undesirable phenomena that stimulation specialists encounter and must mitigate during every treatment. The emergence of the alternative fracture diagnostic method described in this paper means however that perforation erosion can also have beneficial consequences for those trying to diagnose and optimize fracturing performance. The latest generation of borehole video cameras efficiently capture high definition images of erosion to individual perforations after hydraulic fracture treatment. Qualitative and quantitative evaluation of these images allow confirmation of proppant placement and fracture initiation depths that are resolved to the location of individual perforations. The methods described updates the previous work of Roberts, Lilly and Tymons (2018) to now directly quantify perforation erosion. This improves the identification of clusters that have been successfully stimulated against those that are under or over-stimulated. Measurement and comparison of perforation erosion, area, diameter and azimuth permit a statistical evaluation of the consistency of fracture distribution across clusters and stages. In their goal for optimal recovery Stimulation Engineers, Geoscientists and Reservoir Engineers evaluating treatment success have a fundamental question to answer - where exactly did the frac go? This apparently simple question has hitherto proven difficult, and costly, to answer. We demonstrate that evaluating perforation erosion provides straightforward and intuitive data to precisely confirm proppant placement, define the origin of individual fractures and help quantify treatment distribution. We present results illustrating the effectiveness of the method including examples of acquired perforation images. New methods are introduced demonstrating evaluation techniques used to confirm proppant transport through specific perforations, fracture initiation and treatment consistency. Initial work to demonstrate in-situ correlation between erosion and pumped proppant volume / weight is presented. We conclude that the method can be successfully applied to evaluate changes to stimulation treatment design parameters such as stage length, cluster number and spacing, proppant and fluid properties, pumping criteria and many aspects of perforation design including perforation charge type, count per stage and cluster and shot orientation. Existing hydraulic fracture diagnostic methods are limited in number, scope and sometimes accuracy. Analysis of in-situ perforation erosion using visual analytics provides an additional and complementary data source to evaluate the success of engineered treatment programs. The method provides measurements at a depth resolution that is not otherwise possible, allowing specific entry holes and fracture initiation points to now be evaluated.
Development of organic shale reservoirs with large hydraulic fracture treatments has unveiled challenges related not only to the completion of a single well but also to interference with its surrounding neighbors. Interference can be caused by fracture hits while completing the well, competition for drainage area during production, or fracture geometry deterioration due to stress field variation when infill-drilling a child well near a produced parent well. A direct consequence of interference is production loss. Therefore, the drilling and completion schedule for field development becomes four-dimensional in time and space to account for interaction in between wells. The objective of this work is to set up a physics-based model of interference and perform a sensitivity study to propose guidelines for well spacing and a drilling timeline for multiple horizontal wells in the Vaca Muerta shale. Production of organic shale responds to the reservoir deliverability and contact surface between the formation and the wellbore through hydraulic fractures. A reservoir-centric workflow applied to the Vaca Muerta shale is proposed by integrating all the steps from well construction to production including reservoir petrophysics and geomechanics, nonplanar hydraulic fracture geometry, and production simulation with fit-for-purpose simulators. With respect to space, a multiple-well model enables investigating possible hydraulic fracture overlap between laterals and competition for drainage as a function of the well spacing. With respect to time, reservoir depletion can be tracked, and the corresponding stress field variations are estimated using a three-dimensional geomechanical finite-element simulator. The hydraulic fracture geometry and production of a child infill well is simulated based on this updated stress field where a modified stress contrast has been created by the depletion of the parent well. By running different scenarios, competition for drainage between wells is quantitatively evaluated to balance individual well performance and field recovery. Factors affecting well spacing such as lateral landing, stress profile, hydraulic fracture geometry, and number of pay intervals developed jointly are investigated. With regards to completion, well spacing acts as an additional geometrical constraint, and its impact on the completion optimization process, when compared to a standalone lateral, is discussed. Regarding the drilling sequence, a time-dependent relation between infill-drilling of a child well and the production loss due to the effect of stress alteration near a producing parent well is derived. Recommendations for well spacing and completion modifications are provided to minimize the production loss of the child well at different stages of the production of the parent well. The proposed approach places the completion of each well in the field development context by considering a four-dimensional reservoir depletion, geomechanics, and hydraulic simulation coupling. The methodology provides a quantitative impact on production along with practical drilling timeline and completion recommendations when planning for multiple wells in a field development.
Unconventional resource development is increasing quickly in many places worldwide. For unconventional resources, multistage completions play a key role for both reservoir performance and well economics, which makes completion optimization a critical technical and commercial decision. This work integrates the reservoir modeling, fracture simulation, production forecast, and synthetic data pool generation via Monte Carlo methods, and it simplifies the final optimization process into a selection from multiple options. There are many approaches used to optimize completion parameters in shale gas development in the Sichuan basin. Although a trial and error method may work well with an adequate number of wells, this approach is not efficient with few wells because it would take many years to optimize the drilling and completion strategy. Also, such an approach may produce ambiguous results related to high uncertainty due to drilling quality and completion inconsistencies. An innovative workflow is defined in this work that combines reservoir modeling, fracture network simulation, production matching, regression analysis, and Monte Carlo methods. The procedure begins with modeling of the reservoir using the proper geological environment and reservoir properties. Based on this model, the hydraulic fracture network is simulated with varied compl etion parameter sets, including fluid volume, proppant volume, perforation spacing, and stage spacing. Production forecasting is then performed for each of the fracture network simulations, and the result is matched with previous offset well performance. Regression analysis is used to simplify the relationships between the input (completion parameters) and the output (production results). Finally, based on the regression results, a Monte Carlo method is used to generate a large number of input and output pairs creating a type of synthetic completion choice catalog. This catalog provides a pool of completion options, effectively reducing the optimization process to a choice of the best fit-for-purpose options. A synthetic model based on Sichuan shale gas is used in this study to validate the workflow on a single- well basis. It successfully produced many synthetic simulation results. With the large number of completion parameters—production result pairs—it is easy to filter the results and identify which combinations are preferred in terms of cost and production. This work also demonstrates that optimization is subject to the definition of purpose and duration of the objectives, which can be used as an important evidence to support different strategies.
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