{"title":"New Techniques for Metal Sulfate Scale Removal from Production Pipelines and Wellbore Case Study Sidi Kerir for Petrochemical Co.","authors":"M. Salah","doi":"10.2118/197252-ms","DOIUrl":"https://doi.org/10.2118/197252-ms","url":null,"abstract":"\u0000 This research present case study of sulphate scales found at water treatment unit, cooling water system and heat exchangers at Sidi Kerir Petrochemical Company Alexandria, Egypt, which declined overall production by 6%, about 250 million US. Dollar in losses 2018 due to unit's shutdown and flow restriction in pipelines. We tried many techniques like mechanical jet blasting using high-pressure water to crack the scale but it was a time-consuming root and need special equipment and large labour although it was not that efficient in areas with heat exposure and it cannot reach some areas. So we moved to next root for removing scales by chemical cleaning based on inorganic acid like hydrochloric acid, sulphuric acid,,, etc. although it can dissolve the scale in very limit efficiency but we didn't accept this method because those chemicals were very corrosive to metal surface like cast iron and stainless steel grade 304/316 also using those chemical present hard handling problem for adding or dilution. Therefore, we had to take the challenge to develop our new chemical cleaning methodology that combines between efficiency and safety. In new methodology, we developed new chemical formula based on mild organic acid mixture combined with sequencing agent, anti-re-deposition agent, wetting agent and pickling agent to chemically dissolve the scale in efficient and safe way.\u0000 The chemical cleaning technique was successful to dissolve the scale in very short time and in safe way to metal surface like cast iron and stainless steel. This invention is useful for the removal of sulphate scale like iron sulphate, calcium sulphate, barium sulphate and strontium sulphate from process equipment including pipes, pumps and storage tanks. It is also can be used to the removal of these scale deposits from other equipment such as boilers and heat exchangers.","PeriodicalId":11061,"journal":{"name":"Day 1 Mon, November 11, 2019","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85859699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Navaid Khan, Manal Al Bishr, R. Mohan, M. A. Marzouqi, L. Saputelli
{"title":"Automated Sector Performance Review - A Collaborative Process to Identify, Interpret and Implement Profitable Opportunities","authors":"Muhammad Navaid Khan, Manal Al Bishr, R. Mohan, M. A. Marzouqi, L. Saputelli","doi":"10.2118/197500-ms","DOIUrl":"https://doi.org/10.2118/197500-ms","url":null,"abstract":"\u0000 The complexity of the recovery mechanism generally increases with the maturation of a producing field; therefore, the granularity of the reservoir analysis must increase proportionally to better understand the well and reservoir dynamics. ADNOC's Integrated Reservoir Management (IRM) Framework has instituted a set of workflows to focus on analyzing the reservoir performance at the sector level to assure reservoir performance sustainability. ADNOC has developed and implemented a robust automated Sector Performance Review (SPR) process using state-of-the-art analytics and business process management tool. The main objective of this work is to foster collaboration among multiple disciplines to assess the reservoir performance, as well as, to identify, interpret and implement profitable opportunities through a centralized platform (Al Marzouqi et al, 2017).\u0000 A unique process has been implemented in the five major assets of the ADNOC group, which covers approximately 50% of UAE overall production. The system leverages an automated integration of subsurface data from numerous sources; live analytics visualization provides reservoir performance insights on the sector level through automatically calculated KPIs and diagnostic trends. (Al Marzouqi et al, 2018). The integrated interface helps the multidisciplinary teams to identify the value-driven opportunities; the ranking and the feasibility analysis of these opportunities are governed by a closed-loop maturation process that involves the formal approval processes in order to obtain approval or authorization for action.\u0000 The solution offers an innovative way to establish collaboration among different assets to assimilate reservoir performance insights through a sustainable platform. Some of the immediate benefits include the effective execution of a reservoir management scheme, monitoring the variance between actual and anticipated performances during the course of projects, and assuring production target compliance whilst mitigating the shortfalls proactively. In fact, a reservoir level analysis tool (RPR) was piloted during 2017 and presented in SPE-193012-MS. However, with the necessity of having analysis at the sector level, the overall design of the solution is transformed to allow the users to carry out the analysis at sector and well level granularity. The SPR (Sector Performance Review) is enabling the achievement of a consistent approach across all assets for all subsurface performance review processes while improving efficiency through automation of data gathering and presentation and the identification of all underperforming reservoir, sectors, and wells.","PeriodicalId":11061,"journal":{"name":"Day 1 Mon, November 11, 2019","volume":"92 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83856936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Saif Ali Al Messabi, M. Mahgoub, F. Damianus, Babar Hasan, O. Khakimov, B. Tertrais
{"title":"Innovative Seismic Depth Imaging Workflow for Better Reservoir Understanding: TZ Offshore Abu Dhabi Case Study","authors":"Saif Ali Al Messabi, M. Mahgoub, F. Damianus, Babar Hasan, O. Khakimov, B. Tertrais","doi":"10.2118/197452-ms","DOIUrl":"https://doi.org/10.2118/197452-ms","url":null,"abstract":"\u0000 High fidelity seismic amplitude reconstruction through pre-stack migration is crucial for accurate elastic inversion. Despite a relatively flat geology of the Abu Dhabi region, accurate imaging is required for a stable elastic inversion. This can be challenging because the main reservoir Arab lies underneath the strongly anisotropic overburden of the Nahr Umr formation. In this case study, we show how we effectively addressed this challenge through PSDM.\u0000 With PSDM imaging, we have overcome the challenges of complex ray paths passing through the strongly anisotropic Nahr Umr layer and the rapid lateral velocity variation in the Mishrif formation. Evidently, the success of PSDM relies strongly on the accuracy of the depth velocity model used. To achieve this we adopt different forms of tomographic inversion, for example, using 3D non-linear slope tomographic inversion, where velocity and anisotropy (Epsilon) models are jointly inverted. Additionally, short wavelength velocity variations caused by the Mishrif interval are resolved through structurally-constrained tomography (SCT).\u0000 The superiority of PSDM imaging over PSTM in reconstructing AVA compliant seismic amplitudes is demonstrated on an ocean bottom survey from the transition zone offshore Abu Dhabi. Fast-track AVA elastic inversion is used to assess the benefit of PSDM imaging over PSTM. With a more stable Vp/Vs ratio and smaller inversion residual, PSDM imaging demonstrates a greater accuracy in reconstructing the pre-stack seismic amplitude and thus are more appropriate for estimating elastic reservoir properties.\u0000 The value of PSDM imaging for better understanding of reservoir characteristic has been well demonstrated in this case study from the Abu Dhabi transition zone, thus optimizing the value of the acquired seismic data for asset development.","PeriodicalId":11061,"journal":{"name":"Day 1 Mon, November 11, 2019","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77134293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Kiss, T. Barckholtz, R. B. Gutierrez, Haiyang Lu, Brandon J. O'Neill, J. Rosen, Clay R. Sutton, E DavisKeith, J DobekFrank, C GearyTimothy, H. Ghezel-Ayagh, S. Jolly, C. Willman
{"title":"CO2 Capture From Natural Gas Combined Cycle Power Generation Using Carbonate Fuel Cells","authors":"G. Kiss, T. Barckholtz, R. B. Gutierrez, Haiyang Lu, Brandon J. O'Neill, J. Rosen, Clay R. Sutton, E DavisKeith, J DobekFrank, C GearyTimothy, H. Ghezel-Ayagh, S. Jolly, C. Willman","doi":"10.2118/197377-ms","DOIUrl":"https://doi.org/10.2118/197377-ms","url":null,"abstract":"\u0000 Electrical power generation facilities account for a large share of global CO2 emissions. Because they are stationary single-point emitters, power plants are an obvious target for reducing anthropogenic CO2 emissions by CO2 capture. Capture from Natural Gas Combined Cycle (NGCC) power generation has been much less investigated than from coal power generation, despite having approximately half of the CO2 emissions per electrical unity of energy produced as compared to coal-fired power plants. Furthermore, the majority of carbon capture R&D has been devoted to the development of amine scrubbers, a process which incurs a significant energy debit because of its steam consumption in the sorbent regeneration step. Molten Carbonate Fuel Cells (MCFCs) can be used for CO2 capture from NGCC facilities without a significant energy debit. They are modular, thus flexible in fitting the required capture capacity. When using MCFCs for carbon capture, additional power is created by the fuel cells keeping the total efficiency of the power generation system at or near the efficiency of the NGCC plant without CO2 abatement.\u0000 This paper summarizes the current status of MCFC carbon capture technology for low-CO2 emission abatement. We developed modeling tools and performed process simulations to optimize MCFC performance and to develop and assess integrated solutions for power generation with carbon capture. We also obtained proof-of-principle data at the bench scale, using small button cells and lab-scale single cells. Additionally, we carried out process demonstration tests using pilot-scale fuel cell stacks. Our results indicate that the technology is feasible and effective.","PeriodicalId":11061,"journal":{"name":"Day 1 Mon, November 11, 2019","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87164799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eman W. Hassan, Giorgio Loretelli, H. Singh, F. Kamal, Ousama Takeidinne
{"title":"Innovative Solution to Automatically Import Well Production Profile Data into Process Simulation","authors":"Eman W. Hassan, Giorgio Loretelli, H. Singh, F. Kamal, Ousama Takeidinne","doi":"10.2118/197623-ms","DOIUrl":"https://doi.org/10.2118/197623-ms","url":null,"abstract":"\u0000 EPC Contractors face the challenge of practicing/doing various activities that in most cases include some routine work (e.g. well characterization in Process simulation that requires extensive data entry, etc.). This routine work can be minimized by using developed automised solutions. These solutions will help to perform the above tasks as well as other tasks with higher efficiency and accuracy, less time and minimal errors while the Process Engineer will focus on more valuable tasks.\u0000 The Production Profile is one of the most important documents provided in any EPC stage since it is the basis for Process activities like simulations.\u0000 As per normal practice, the Process Engineer is requested to characterize each well in HYSYS using a no. of separation stages that depends on the project requirement. Well characterization includes finding the choke valve inlet flowrate and composition at the operating conditions using the productivity data. Productivity data includes the flowrates at Stock Tank Conditions and the reservoir composition. This task requires an extensive data entry since all wells have to be characterized for various production years. Moreover, any revision of such document may require an extensive re-work.\u0000 Performing Process simulations for an upstream project can be a challenging activity due to the possibility of having a high No. of wells that may need to be characterized in HYSYS. Moreover, the well characterization in HYSYS requires the input of oil/gas/water and gas lift productivity data in dedicated adjust blocks. For example, in a project having 100 wells and 4 governing cases, the No. of data that needs to be entered is 1200. This activity needs to be performed by the Process Engineer by reading the production profile and enter its data manually in HYSYS.\u0000 NPCC has developed a new software whose scope is to:Import the Production profile in a standard templateProvide a track change for any production profile revision.Provide the governing cases (Max. Oil/Gas/Water) and their relevant production years for individual wells/Flowlines/Trunklines/Pipelines as well as the overall production.Automatically export into HYSYS the production rates that need to be used for well characterization.\u0000 With the above software, the following benefits are achieved:Reduction in manhours.Increase in efficiency.Minimum supervision from Process Engineer is required.Reduction of mistakes/human errors.\u0000 This paper demonstrates that saving in manhours/manpower is achieved by interfacing EXCEL and HYSYS through VBA. Dedicated software has been coded to import the production profile provided during FEED/EPC stage in a more presentable and organized format that can be sourced to HYSYS. This will help in facilitating process simulations as well as achieving higher efficiency in Process activities.","PeriodicalId":11061,"journal":{"name":"Day 1 Mon, November 11, 2019","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86007388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Ruffo, M. Piantanida, Floriana Bergero, P. Staar, C. Bekas
{"title":"Application of Geocognitive Technologies to Basin & Petroleum System Analyses","authors":"P. Ruffo, M. Piantanida, Floriana Bergero, P. Staar, C. Bekas","doi":"10.2118/197610-ms","DOIUrl":"https://doi.org/10.2118/197610-ms","url":null,"abstract":"\u0000 \u0000 \u0000 When dealing with new exploration areas, basin geologists face the challenge of collecting relevant information from all available sources. This include a number of structured commercial databases, but also large corpora of technical documents in which an invaluable amount of information is scattered across. Even if assisted by search tools to filter the documents of interest, extracting information requires a human effort in reading and understanding the documents.\u0000 \u0000 \u0000 \u0000 Eni and IBM developed a cognitive engine exploiting a deep learning approach to scan documents searching for basin geology concepts, extracting information about petroleum system elements (e.g. formation name, geological age and lithology of source rocks, reservoirs and seals) and enabling basin geologists to perform automated queries to collect all the information related to a basin of interest. The collected information is fully referenced to the original paragraphs, tables or pictures of the document in which it was discovered, therefore enabling to validate the robustness of the results.\u0000 \u0000 \u0000 \u0000 The cognitive engine has been integrated within an application which enables to build a graphical representation of the Petroleum System Event Charts of the basin, integrating the information extracted from commercial databases, the results from the cognitive engine and the manual input from the geologist. The quality of the results from the cognitive engine has been evaluated using a commercial database which provides both tabular data about basins and detailed pdf reports. The cognitive engine has been trained on the pdf reports alone, and the results have been compared with the tabular content of the database, representing the ground truth. The cognitive engine succeeded in identifying the right formations, lithologies and geological ages of the petroleum systems with an accuracy in the range 75% – 90%.\u0000 \u0000 \u0000 \u0000 The cognitive engine is built with highly innovative technologies, combining the data driven capabilities of deep neural networks with more traditional natural language processing methods based on ontologies. Documents are processed with a three-step approach. In the first step, convolutional neural networks (CNN) are used to recognize the structural elements within a technical paper (e.g. title, authors, paragraphs, figures, tables, references) and to convert a complex pdf structure into a clean sequence of text, which can be analyzed. In the second step, concepts are extracted from these processed documents using extractors, NLP annotators (based on recurrent neural networks) and aggregators. Finally, the joint use of the results from the deep learning tools and the provided ontologies are used to build a knowledge graph, which links together all the discovered entities and their relationships. A fit-for-purpose high efficient graph database has been developed so that the graph can be traversed with full flexibility, collecting all the concepts needed for basin geolo","PeriodicalId":11061,"journal":{"name":"Day 1 Mon, November 11, 2019","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73700065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Dynamic Filtration on Formation Testing in Low Mobility Carbonate Formations. Case Study: Lower Cretaceous Carbonate Reservoir in the UAE","authors":"M. Kuliyev, S. Molua, K. Cig, S. Sepehri","doi":"10.2118/197221-ms","DOIUrl":"https://doi.org/10.2118/197221-ms","url":null,"abstract":"\u0000 Formation pressure and sampling measurements in low mobility formations under dynamic filtration can lead to measurements influenced by continuous mud circulation. Generally, active mud circulation inhibits mud cake growth, promoting filtration and invasion of mud filtrate into the reservoir. The resulting invasion adds its own pressure to the actual formation pressure. This is more pronounced in low mobility formations where pressure or sampling measurements made with mud circulation show higher than expected reservoir pressures and/or extended clean up times as a result of dynamic filtration and invasion.\u0000 We focus on formation pressure acquisition and present data sets where pressure acquisition was done with active mud circulation. The data is then compared with measurements acquired in a pseudo-static and static mud column.\u0000 The measured near wellbore formation pressures acquired with active mud filtration are significantly higher (in some cases, > 400psi) compared to those obtained with a static mud column (assumed to be reading closer to the true formation pressure). The additional pressure is often referred to as supercharging, i.e., the excess pressure superimposed on the original formation pressure by the viscous flow of mud filtrate. The difference depends amongst other factors primarily on the formation mobility and surface pump flow rate during the pressure acquisition. For higher mobilities, there is generally little appreciable difference between active mud circulation and zero mud circulation. Secondary factors like pipe movement, pipe diameter, mud composition and reservoir wettability also influence the degree of the extra pressure measured.\u0000 Best practices for formation testing while drilling in low mobility carbonates are discussed. Lessons are drawn from experience where ignoring such best practices result in questionable data.","PeriodicalId":11061,"journal":{"name":"Day 1 Mon, November 11, 2019","volume":"275 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73550933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cara Smith, P. Vasilyev, A. Glushchenko, D. Zarubov
{"title":"Q-Compensation from Near Surface to Reservoir and Below: Case Study from Onshore Abu Dhabi","authors":"Cara Smith, P. Vasilyev, A. Glushchenko, D. Zarubov","doi":"10.2118/197443-ms","DOIUrl":"https://doi.org/10.2118/197443-ms","url":null,"abstract":"\u0000 Interest in quantitative interpretation (QI) of seismic data in the Abu Dhabi region continues to steadily increase, and the objective of creating inversion-ready seismic data is driving evolution of the surface seismic data processing workflows to focus on more detailed and thorough handling of the amplitude and phase throughout processing (pre-, during, and post-imaging). To achieve close well ties across the survey and to ensure the data is suitable for interpretation purposes, zero-phasing and wavelet stability (along with using well information during earth model building) are key stages in the depth imaging seismic processing workflow. Accurate amplitude with offset and azimuth handling is also required for inversion studies. In this paper, we propose a workflow where a geophysically and geologically credible, 3D variable Q-field is built into the earth model early in the processing flow, allowing a more complete approach to handling the Q-effects of the subsurface without increasing project turnaround time. This case study shows that a data-driven spatially variable Q-field combined with Kirchhoff Pre-Stack Depth migration compensates effectively for both amplitude and phase effects, providing a broadband image with improved event continuity and better handling of noise compared with applying a constant pre-migration Q-compensation (which was previously thought to be suitable for this low-relief region). By calibrating the variable Q-field to available well logs and near surface information, and ensuring that the different geophysical parameters in the earth model are all suitably coupled, an enhanced image is achieved which then requires minimal spectral shaping or residual phase corrections post migration. Ray-based Q-tomography workflows allow iterative 3D updates alongside coupled subsurface properties like anisotropy and velocity, within a high-resolution Earth model suitable for depth imaging. Reliable phase stability, higher resolution, broader useable bandwidth and improved amplitude preservation are key targets of this holistic approach.","PeriodicalId":11061,"journal":{"name":"Day 1 Mon, November 11, 2019","volume":"381 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74261234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Energy Saving Challenges and Opportunities in Upstream Operations using Value Methodology","authors":"M. Soliman","doi":"10.2118/197759-ms","DOIUrl":"https://doi.org/10.2118/197759-ms","url":null,"abstract":"\u0000 The objective of this paper is to investigate and analyze energy saving and process optimization opportunities in upstream surface facilities, from downhole all the way to the gas-oil separation plants (GOSPs), using value Methodology. Function analysis was used to identify those functions that can be reduced, eliminated, or synergized, to minimize GOSP operating and maintenance cost.\u0000 In this paper, various energy saving and process optimization opportunities in GOSPs were brainstormed, analyzed, shortlisted, simulated, and validated using actual plant data. Process simulation using Hysys was used to model and verify the feasibility of different process optimization opportunities in GOSPs. A 300 MBD production facility was used to benchmark the Hysys simulation model, and to verify the feasibility of these promising energy saving opportunities. All of the successful opportunities were selected, based on their minimum OPEX and CAPEX, using value engineering methodology.","PeriodicalId":11061,"journal":{"name":"Day 1 Mon, November 11, 2019","volume":"122 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72851466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Munguia, Blanca Estela González Valtierra, Javier Trujillo Hernandez, S. Santos, Katya Campos Monroy
{"title":"Acid-Fracturing Techniques as a Good Alternative to Help Improve Field Development Assets","authors":"J. Munguia, Blanca Estela González Valtierra, Javier Trujillo Hernandez, S. Santos, Katya Campos Monroy","doi":"10.2118/197550-ms","DOIUrl":"https://doi.org/10.2118/197550-ms","url":null,"abstract":"\u0000 Acidizing and acid fracturing techniques are routinely used in two important formations in the marine regions of Mexico, the Jurassic and Cretaceous formations. These formations are naturally fractured carbonate and dolomite reservoirs having a permeability in the range of 0.19 to 22 mD, porosity from 2.8 to 6%, approximate bottomhole temperature (BHT) up to 177°C, pressure (BHP) of 10,374 psi, and a crude of 45° API. Using acid fracturing techniques helps improve the development of these assets. This paper shows the results of more than 40 acid fracturing operations performed in recent years.\u0000 Depending on the productivity evaluation, wells belonging to these assets are stimulated as part of the completion stage. Because of their low permeability, a common approach is to perform an acid fracturing operation. As a first evaluation, a minifrac test is executed to obtain the necessary data to calibrate the acid fracturing simulation model. After this step is performed, the acid fracturing design is evaluated. Generally, a sustained production acidizing technique is used for conductivity enhancement and closed-fracture acidizing is also included as a tailored treatment with an all seawater-based acidizing system.\u0000 For these operations, an average five-fold increase in oil production has been observed after treatment. In some cases wells in the completion stage, having no production before treatment, delivered up to 7000 BOPD after treatment. In these low-permeability assets, the post-fracturing response shows good results in general terms, increasing final conductivity in the near-wellbore area, and improving the production in these wells. The fracture gradient observed varies from 0.715 to 0.981 psi/ft with an average minimum stress of 13,670 psi. To perform the acid fracturing treatments, an average of 6400 hydraulic horsepower (HHP) must be available, with up to 13,400-psi surface pressure observed. As such, a stimulation vessel is necessary in all operations, applying a 26-bbl/min average pumping rate.\u0000 Globally, acid fracturing treatments are a common stimulation technique. This study shows that stimulating proper candidates in Mexico using acid fracturing significantly helps increase production, which may be relevant for the exploitation of new areas where fracturing has not been implemented.","PeriodicalId":11061,"journal":{"name":"Day 1 Mon, November 11, 2019","volume":"124 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76263670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}