Day 1 Tue, October 22, 2019最新文献

{"title":"Application of Proportional, Integral, Derivative PID Control Loop Algorithm for Optimization of Equipment Operation Used for Decentralized Water Injection System at West Qurna 2 Oilfield","authors":"Dmitrii Letunov, Dmitry Nepomiluev","doi":"10.2118/196820-ms","DOIUrl":"https://doi.org/10.2118/196820-ms","url":null,"abstract":"\u0000 One of the key drivers in gaining the cost-effective, reliable and low-downtime Operation system for major Oil Fields is implementation of Water Injection System (WIS) with capability of online-automated regulation and control.\u0000 This Paper outlines an application of Proportional, Integral, Derivative (PID) control loop algorithm for Decentralized WIS (with direct injection from Water Source wells to Injection wells by means of high capacity ESP's) used in West Qurna-2 oilfield located in Iraq, operated by LUKOIL.\u0000 PID control loop algorithm has being used in the industry for the years, but not commonly applied as integral component of Water Injection System allowing to maintain optimal equipment modes. Such limited PID deployment is explained by complexity of operational parameters synchronizing for every Water Injection System component.\u0000 The decentralized Water Injection System at the West Qurna 2 project is common and united pipeline system for every WellPad that provides water transfer from Water source wells (3-5 wells per WellPad) to injection wells (3-6 wells per WellPad) with line pressure of 70-130 Barg by means of high-capacity ESP equipped with VSD.\u0000 Water injection process is regulated by controlling both the conventional ESP parameters (frequency, flow rate, motor current and load, Intake and discharge pressures), line pressure, required injection rate by means of flow control valves, and implemented PID control loop algorithm.\u0000 This paper discusses the techniques of PID control loop algorithm application as the tool for: –Pipeline protection against high pressure without full shutdown of water injection process and–ESP automated regulation to ensure operation inside Recommended Operated Range (ROR) and smoothening of ESP mode when any changes in the system happen (i.e. shutdown of other water source well ESP's at the same WellPad or shutdown of injection well) with immediate feedback to Operator Control Room. Implemented approach allows to decrease number of ESP shutdowns and avoid high jumping of ESP loads that consequently leads to maximizing of ESP run life.\u0000 Comparative examples and case studies of submersible equipment operation results before and after the application of PID regulation are specified.\u0000 Mainly by implementing PID regulation and control stable and smooth operation of equipment and ESP's used for WIS (direct injection from Water Source Well to Injection Well) has been achieved.\u0000 New approach for PID application as a tool for pipeline overpressure protection has been formed, which allowed to reduce Capital Expenses for the WIS construction works. Specified case can be used as example for further development and projects in the oil and gas industry.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115380837","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":"Integration of a Multi-Frequency Dielectric Measurement and Advanced Wireline Logs for the Enhanced Characterization of Carbonate Reservoirs of the Western Kazakhstan","authors":"R. Valiakhmetov, N. Mendybaev, Samat Ramatullayev, M. Charupa, Y. Seilov, A. Abishev, Zarya Rziyeva, Nurgul Salikova","doi":"10.2118/196954-ms","DOIUrl":"https://doi.org/10.2118/196954-ms","url":null,"abstract":"\u0000 Saturation evaluation based on resistivity methods have been widely accepted industry standard for the decades. Formation Evaluation in carbonates usually relatively straightforward due to simple lithology and resistivity-based methods works perfectly due to high formation water salinity. However, complexity and variation of carbonate texture and wettability makes estimating of saturation solely on resistivity methods challenging especially in case of the paucity of special core analysis (SCAL) data.\u0000 New developments in logging technology, especially in dielectric logging, is aiming to improve the log derived interpretation and reduce the uncertainties of the evaluation. Outputs of dielectric dispersion logs including computation of Archie's parameters (m=n), water-filled porosity enable clearly identified the hydrocarbon-bearing zones despite misleading oil saturation calculated using resistivity-dependent saturation approach in front of most porous reservoir. Water saturation computed with inverted from dielectric measurement Archie's parameters allows accurately identify the type of fluid (hydrocarbon or water) filling the free pore space and gain insight prior to the formation sampling and well test.\u0000 The objective of this work is to describe a comprehensive approach integrating dielectric measurement and other advanced sets of wireline logs for petrophysical characterization of carbonate reservoirs. This paper is intended to discuss in detail a case study from the Western Kazakhstan in which the integration of advanced petrophysical logs has enabled a robust reservoir and fluid characterization of carbonate reservoir and provided insights for formation testing results in advance.\u0000 The extensive logging suite to address all the key challenges included standard logging, dielectric dispersion, nuclear magnetic resonance, and formation microimager. The reservoir fluids and dynamic properties were characterized by a series of formation sampling. The integration of dielectric, nuclear magnetic resonance and formation microimager measurements has played a major role in characterizing formation heterogeneity and reveal pore structure type, a dielectric multi-frequency measurement is being utilized to measure the flushed zone oil saturation relatively independent of pore fluid salinity, rock texture, and composition.\u0000 The comparative analysis of well-logging and well-test results was carried out. Saturation types of 6 tested objects out of 6 obtained from well-test show perfect match with predicted reservoir saturation from petrophysical evaluation.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114884312","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":"Factor Analysis of Basic Production","authors":"Vitaliy Oleynikov, Nikolay Cherkovskiy","doi":"10.2118/196853-ms","DOIUrl":"https://doi.org/10.2118/196853-ms","url":null,"abstract":"\u0000 A brownfield basic production generally provides at least 90% of total production, it is sometimes called current declining well stock production or even free one. It is on the brownfields where accurate understanding and operational control of basic production are especially important.\u0000 The most important and complicated features of the basic production are related to its all-time decrease, that can be traced to such things as watercut increase during the stock work out, well stock disposal and others, impact of which is difficult to calculate in the obvious way.\u0000 An existing process of direct change of basic production calculation by types and factors is presented in this article.\u0000 Tasks to be solved are limited by the determination of wells, causes and magnitudes of changes in basic production with the reason of making operational decisions on the application of operations, as well as by the generation of statistical data with the reason of the basic production dynamics prediction.\u0000 The first key step is to select the well stock, the main basic production (wells without the previous year GTO) and unsteady basic production (the GTO wells of the previous year).\u0000 Differentiation of the main and unsteady basic production allows to consider the volume of previous year GTO and to increase the accuracy of the projection.\u0000 The second step is the calculation of daily average oil production reduction factors: the changes by debit, by the operational efficiency and by the average well stock.\u0000 Factor clarification identifies the production decline reasons and allows to select effective corrective operations.\u0000 The algorithm automation allows conducting of an analysis of the history and obtaining of reliable statistical base for risks calculating of basic production eventually. The basic production forecast calculating is made according to the analysis factors, it allows to control the deviations causes of the actual forecast performance.\u0000 The main result of the work is the development and continuous use of factor analysis of basic production, determination of production change by factors for each well, formation of targeted corrective operations, risk assessment for basic production on a one-year planning horizon.\u0000 The developed complexes and combinations of calculations, conditions and filters made it possible to form a unique algorithm for the direct calculation of all the factors affecting on basic production \"without a trace\".\u0000 The developed visualization tools allow working with large data arrays and easy integrating of the results at the required level (cluster wells sites, development objects, oilfields, workshops).\u0000 For the first time a methodology for the risks assessing of basic production based on historical data was developed and used with the ability to clarify the impact of any period.\u0000 Selected activities show the high efficiency.\u0000 The approach development is determined in the way of automation and expansion of the causes determining funct","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"110-111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122434302","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":"Conceptual Approach to Field Drilling – Minimizing Risks And Economic Costs","authors":"A. Freze","doi":"10.2118/196906-ms","DOIUrl":"https://doi.org/10.2118/196906-ms","url":null,"abstract":"\u0000 The existing, until recently, design system provided no connection of the surface and underground parts of the field in a complex, as a result of which further implementation of design solutions had problems with placement of well clusters on the surface and well profiles drilling. The introduction of a conceptual approach in the design of the field allows you to accurately determine and optimize the cost of construction of wells and construction of oilfield at the design stage.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122637026","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":"Integrated Modeling of the Complex Multilayer Oil, Gas and Condensate Field Development as a Method of the Project Value Increasing","authors":"E. Bogdanov, I. Chameev, S. Nekhaev, R. Badgutdinov, A. Tkachuk, A. Shorokhov","doi":"10.2118/196913-ms","DOIUrl":"https://doi.org/10.2118/196913-ms","url":null,"abstract":"\u0000 The work is devoted to highlighting the experience of creating a full-scale integrated (reservoir – well – infrastructure network) model of gas reservoirs of the large oil, gas and condensate field of Yamal, finding optimal solutions to the problem of both development oil rims, gas caps of productive reservoirs and dry gas reservoirs, as well as the gas injection system on the efficiency of the field development process as a whole. The task included creating, history matching and integration of the hydrodynamic models with surface facility system, the elimination of \"bottlenecks\" in the gas facility network system and the determination of the optimal solution to the problem of hydrocarbon production (oil production from oil rims and gas production from gas caps and dry gas formations).\u0000 Conducted integrated calculations allowed us to consistently identify the risks of the project and allowed them to be minimized at the preparatory stage of the project, which leads to an increase in the value of the project.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116612027","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":"Field-Scale Automatic Facies Classification Using Machine Learning Algorithms","authors":"A. Kuvichko, P. Spesivtsev, V. Zyuzin, S. Istomin, Alexey Kalistratov, M. Kuznetsov, S. Igitov","doi":"10.2118/196860-ms","DOIUrl":"https://doi.org/10.2118/196860-ms","url":null,"abstract":"\u0000 We propose a novel approach to facies classification based on a supervised machine learning algorithm. This approach allows for the automatic facies classification on a field scale based on an ensemble of Decision Trees algorithm associated with gradient boosting. Major steps of the workflow include data integrity assessment, data scaling, identification and correction of gaps in data, log processing, feature engineering, training, testing, and tuning the hyperparameters on the validated set of data. At the ultimate stage of the workflow, the algorithm accepts a set of well logs as an input and produces a discrete facies type as an output. This method substantially increases the quality of the facies classification, that is key to further geological modelling and dynamic simulation that help reduce drastically the risk of incorrect well planning, fracturing and other operations, thus avoiding a huge negative financial impact. The novelty of approach is related to the selection of machine learning algorithms that are best fitting the dataset, combined with a workflow to enhance the dataset itself.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131350514","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":"Application of Time Lapse Gravity Measurements for Oil and Gas Field Development Monitoring","authors":"V. Kolesov, K. Gareev","doi":"10.2118/196847-ms","DOIUrl":"https://doi.org/10.2118/196847-ms","url":null,"abstract":"\u0000 Time lapse gravity (TLG) technology for producing oil and gas field control involves periodic high precision gravimetric and geodetic measurements at the area of a developed field.\u0000 The technology targets the following geological and technological challenges: improvement of field development control by adding independent information from gravimetric variations and finding its relationships with fluid saturation variations in the reservoir;prediction GOC or GWC shifting according to gravity data;precise surface elevation control in time (geodynamics).\u0000 TLG is considered as a significant part of the integrated field development control workflow and provides important independent information to be means added to time lapse well log measurements, production data and time lapse seismic where applicable.\u0000 The paper describes the methodological basics, provides some results of TLG implementation at a large gas field and estimates of gravity variations during production from a real oil field with a gas cap, which shows the feasibility of TLG application.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"308 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134320046","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":"Approach to Determining the Optimal Parameters of Well Performance in Fractured Reservoirs with a Gas Cap: Orenburg GCF Case Study","authors":"E. Yudin, I. Galyautdinov, G. Piotrovskiy, A. Morozova, O. Kolyuk, N. Smirnov","doi":"10.2118/196852-ms","DOIUrl":"https://doi.org/10.2118/196852-ms","url":null,"abstract":"\u0000 The paper deals with the features of well operation at the Orenburg oil and gas condensate field. Our study presents the investigations of the reasons for various complications, which can lead to the reduction of production characteristics of wells for the conditions of fractured reservoirs with gas cap and high gas content of oil. The Orenburg oil and gas condensate field wells are used as an example to present the results of well production optimization in accordance with the obtained results. In this paper we proposed a complex approach to determining the parameters of the fractured formation. At the first stage, based on the mathematical model of Warren-Root fracture reservoir, we found the dependence of the well flow rate on time and parameters of fracture under conditions of maintaining constant bottomhole pressure. The second stage was a generalization of this problem for the case of arbitrary dynamics of flow rates and pressures based on the problem of deconvolution. The search of parameters of double fracture formation was carried out by their variation in the corridor of admissible values in order to minimize the deviation of the calculated flow rate relative to the true one.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"475 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115499730","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":"Appraisal and Management of Erosive Wear as a Tool for Facility Integrity Assurance Exemplified by the Oil-Gathering System of Novy Port Field, LLC Gazpromneft-Yamal","authors":"A. Blyablyas, S. Vershinin, O. Vernikovskaya","doi":"10.2118/196950-ms","DOIUrl":"https://doi.org/10.2118/196950-ms","url":null,"abstract":"\u0000 In the current era of new materials, current technology limits and restrictions are de-bottlenecked. The application of new alloys and composite materials makes it possible to accelerate velocity, pressures and stress of mechanisms and systems. Despite apparent breakthrough technologies however, over 1 million failures of pipeline systems are reported annually. Those entail emergency situations, spillage of process fluids and oil products, corrosive media and cause irrecoverable damage to the natural environment.\u0000 The interest to inline research is caused by the fact that the existing inspection pigging and gravimetric methods using pilot joints only allow one to detect general destruction of the material in flow while predominant effect of each of the impacting factors remains unknown.\u0000 Parallel processes like corrosion and erosion are inseparable at the first glance especially in gas-liquid mixtures with high flow rates and existence of solids. Erosion is the destruction of material caused by the effect of dynamic flow of gas, solid particles and electrical discharges. The problem of erosive wear and consequently, the management and protection of pipeline systems and machinery elements becomes especially relevant nowadays.\u0000 It often happens that a gravimetric test reports high-rate destruction of metal and a false decision is made to increase inhibitor dosage; it is an often case, however, that it is erosive wear that causes destruction. Appraisal and selection of a clear and consistent method to appraise the rate of metal erosive destruction can help us clearly delineate between corrosion and erosion, and select a tool for the management of those processes, as well as increase operation time of pipeline systems between repairs and improve the quality of hydraulic calculations.\u0000 Regular alteration of the methods of lifting from producing wells is a common practice among oil companies. Minor changes in the fluid volume, physical or chemical composition of medium, or water cut when replacing pumping equipment for an oil gathering system do not, as a rule, affect the time between repairs of either the equipment, or field systems. It is a different story when part of the active producing stock is converted to gas lift which results in drastic increase of gas content in the produced multi-phase flow.\u0000 This manuscript will describe existing empirical methods for the calculation of erosive destructions and values of assumed coefficients / factors; it will also provide an appraisal of erosive impact on a specific section of an active oil-gathering system in Novoportovskoe (\"Novy Port\") field of LLC Gazpromneft-Yamal.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116381552","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":"Prediction of Wells Productive Characteristics with the Use of Unsupervised Machine Learning Algorithms","authors":"D. Balashov, D. Egorov, B. V. Belozerov, S. Slivkin","doi":"10.2118/196857-ms","DOIUrl":"https://doi.org/10.2118/196857-ms","url":null,"abstract":"\u0000 The new approach for production prediction was developed and is described in the article which involves the clustering analysis aimed to well logs such that the reservoir and non-reservoir rocks are obtained (presented by various clusters) and the subsequent linkage among clusters' types, their thicknesses and production characteristics is found. It may be implemented for the prediction of the production for planned wells' ranking further. Such approach may provide the solution to various tasks. It may be used for the geological features' estimation. For example, clustering may be adjusted such that sedimentological interpretation becomes simpler, geological models may become more accurate since the machine interpretation was confirmed to be able to find the errors in human interpretation. Moreover, the necessity of implementation of the method was proved for production prediction by regression analysis when clustering results and dynamic characteristics are used simultaneously.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128714312","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}