Day 1 Tue, October 22, 2019最新文献

{"title":"Selective Oil-Field Exploitation System Features with Horizontal Wells Multi-Stage Fracturing of Achimov Deposits in Case AHRP","authors":"A. Buzaev, A. Akhmetov, A. Osipenko, E. Sherstoboev","doi":"10.2118/196850-ms","DOIUrl":"https://doi.org/10.2118/196850-ms","url":null,"abstract":"\u0000 Achimovsky deposits of the North of Western Siberia are characterized by variability of the reservoir on lateral and in vertical directions that leads to increased development risk. A main objective of the paper is definition of an optimal development scheme of pilot project sector and to use the received results in creation of the systematic plan of studying and drilling of other perspective areas for decrease in geological risks and for eduction of CAPEX on drilling.\u0000 In this paper, creation of conceptual geological and hydrodynamic model of BU213 layer of the East Messoyakhsky field is described. Reservoir of achimovsky deposits is characterized by clinoform (lenticular) structure. An optimal development scheme is choosen by multivariant geological and simulation modeling. Number of wells, length of horizontal section, quantity of stages of multistage hydraulic fracturing, proppant volume were varied for choosing an optimal development scheme by multivariant geological and simulation modeling. The additional research of geomechanical parameters was performed; modeling of water-saturated BU212 layer is conducted to find reason of water-cut increasement on production wells, and obtained results were used to re-design fractures for the purposes of low-volume hydraulicfrac fracturing efficiency increasement.\u0000 This approach allowed selecting an optimal development scheme – maximization of produced oil with minimization of drilling costs. Pattern of horizontal wells with multistage hydraulic fractures (5 stages) is recomended. For removal of geological uncertainties different development scenarios were provided which allow operative change a designed well pattern depending on drilling result, well tests and wells productivity. At each stage of obtaining information geological and simulation models, updates are planned. That allows specifying probabilistic forecast of liquid, oil and gas production. After obtaining of results, phased drilling plan was generated and studying plan of other object BU213 deposits is approved.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"61 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":"133592600","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":"Comprehensive Evaluation of Costs at the Early Stages of Project Development: Costs of Equipment not Included in the Construction Estimate","authors":"Y. Maksimov, O. Skudar, Irina Yanina, L. Pashkevich, Ilya Sandler, V. Ulyashenko","doi":"10.2118/196908-ms","DOIUrl":"https://doi.org/10.2118/196908-ms","url":null,"abstract":"\u0000 This article describes the method developed by Gazprom Neft to evaluate capital expenses required to purchase the equipment not included in the construction estimate using the automatic calculation module. Work in this direction is to Gazprom Neft a relevant and logical continuation of the cost engineering development vector. Having a methodology and tool for calculating the costs of equipment not included in the construction estimate will optimize the decisions made by increasing the accuracy and substantiation of the CAPEX amount evaluated for the newly introduced and developed assets.\u0000 The method of calculating the costs of equipment not included in the construction estimate includes itemized decomposition by well type and method of well operation. The full list of equipment is defined, the algorithms of equipment selection depending on the technological pre-requisites are described, the cause-and-effect relationships are established according to the principle \"technical parameter x cost\", an economical and mathematical mechanism is suggested.\u0000 The tool for evaluating the costs of equipment not included in the construction estimate includes full automation of the calculation process in accordance with the methodological provisions as relates to the region under consideration where the asset is located. Engineering modules are integrated which calculate the frame size, capacity, length and other characteristics of equipment. The tool helps to perform calculations for both individual well types and in general in accordance with the fluid / oil / associated gas production / water injection.","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":"131184177","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":"Understanding Well Events with Machine Learning","authors":"V. Elichev, Andriy Bilogan, K. Litvinenko, R. Khabibullin, A. Alferov, A. Vodopyan","doi":"10.2118/196861-ms","DOIUrl":"https://doi.org/10.2118/196861-ms","url":null,"abstract":"\u0000 The key to successful planning of well interventions and other well actions is to understand the current state and the history of the well. Due to the large spread of telemetry systems with high-frequency (up to 1 measurement per second) measurement of parameters, it is possible to use machine learning methods for well events recognition. In this paper we consider well analysis with, aim to identify equipment failures and other influences affecting the behavior of wells.\u0000 Typically, several parameters are recorded at the wellhead with high frequency: wellhead and bottom-hole pressure and temperature, flow line pressure and temperature. Also, readings of downhole measuring devices and well logs are periodically made and recorded. The readings of well parameters can be influenced by many factors: manual manipulations on the well, changes in the composition of the produced products, well integrity issues and others.\u0000 This work suggests an approach that allows to identify and classify events at the well. The approach is based on the results of constructed synthetic dynamic models of wells and observation of the real behavior of wells. It allows to identify the behavior of individual measured parameters and classify events using all measured parameters in aggregate.\u0000 The proposed algorithm allows retrospective analysis of data and identification of different events, such as well tests that occurred in the past. The algorithm also allows the analysis of incoming data and identification of well events in real time. Retrospective analysis of the data was useful not only for detecting anomalies and malfunctions, but also for building a real log of events at the well, monitoring well interventions and building reports on well performance. The analysis of event records demonstrates that only minor part of well events is normally captured in central databases.\u0000 The developed algorithm for natural flowing wells can be easily extended to wells equipped with mechanized oil production systems. For example, for wells with a gaslift or ESP installation. The algorithm can be easily integrated into corporate monitoring systems as an auxiliary tool.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"174 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":"133282067","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":"Three Typical SAGD Horizontal Producer Temperature Modes and Enhanced Measures in Heterogeneous Super Heavy Oil Reservoir-A Case Study in FC Project of Xinjiang Oilfield","authors":"Xi Changfeng, Yang Zhi, Du Xuan, Zhou You, Lanxiang Shi, L. Sang, Li Xiuluan, D. Ma","doi":"10.2118/196762-ms","DOIUrl":"https://doi.org/10.2118/196762-ms","url":null,"abstract":"\u0000 Steam assisted gravity drainage (SAGD) technology by dual-parallel horizontal wells is matured commercial technology. In China SAGD was used commercially from 2012, current SAGD production rate is 17,000bbl/d. However, because of reservoir heterogeneity the production performance is not expected, oil rate per well is low, steam oil ratio (SOR) is higher. FC project in Xinjiang Oilfield has been operated for 6 years since 2012, however, the expected oil rate and SOR are still not gained. By analyzing various data about 168 dual-horizontal well patterns, three typical SAGD horizontal producer temperature modes are put forward. They are basically uniform mode (Type I), heel section tending to steam breakthrough mode (Type II), toe section non-start-up mode (Type III) respectively. Different temperature modes represent different recovery and producing characteristics, appropriated enhanced measures should be put forward. Basic uniform mode is 27% (45 well patterns), its characteristic is the temperature difference along the horizontal producer is about 30℃ and the whole well section is utilized basically. Heel section tending to steam breakthrough mode is 47% (79 well patterns), the temperature of heel section is 80℃ higher than that of toe section. There are hotspots near heel section, and steam is easy to break into producer in heel section. Liquid production intensity (t/d/m) of heel section is 5-10 times lower than that of toe section. Toe section non-start-up mode is 26% (44 well patterns), the temperature difference is more than 100℃ along horizontal producer, toe section cannot be start up efficiently.\u0000 Different enhanced measures have been applied to these three types. For Type I, sub-cool is lowed from 30-40℃ to 8-15℃ to increase liquid production intensity, then the oil production and SOR are enhanced. For Type II, an appropriated length electric heater is placed in the toe section to increase its temperature and narrow temperature gap between heel and toe section. Liquid production intensity of toe section is increased by this measure. For Type III, assisted vertical injector wells are used to utilize the toe section and make the steam chamber develop uniformly in toe section.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"44 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":"131601197","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":"Experience of Thermo-Hydrodynamic Studies of Wells in Combination with Noise Logging and Quantitative Interpretation of Data Based on the Simulator","authors":"S. Vlasov, Dmitriy Kruchatov, M. Podberezhnyy, M. Azamatov, R. Valiullin, A. Sadretdinov, Ayrat Ramazanov","doi":"10.2118/196955-ms","DOIUrl":"https://doi.org/10.2118/196955-ms","url":null,"abstract":"\u0000 The purpose of the report is to share with experts some of the accumulated experience in the planning and interpretation of thermohydrodynamic data of multilayer injection and production wells in combination with noise measurement.\u0000 The description of the mathematical model of thermohydrodynamic processes in the system \"wellbore – jointly operated reservoires\", which takes into account convective heat transfer, thermal conductivity and barothermal effect in the reservoir, is given. The temperature model of the well takes into account the convective heat transfer, heat transfer with the environment. Annular flows and modify properties of wellbore zone are simulated.\u0000 The article describes the geological properties, the technology of production well logging, mathematical models of thermohydrodynamic processes, algorithms of proccesses and quantitative data interpretation that tested in practice. Geological and technological measures to increase oil production are recommended based on the analysis of the results.\u0000 The quantitative interpretation of thermohydrodynamic data based on the use of the simulator is demonstrated by the example of one injection well of SPD. There are results of production logging on several modes of injection and transient pressure and temperature.\u0000 Production well logging (PL) was performed by several combined tools, such as different types of flowmeters, noise meter, temperature, pressure and composition sensors. The first research was carried out by a standard production logging unit, in the second case, an additional noise tool with fixed frequency windows was used, in the third one a broadband acoustic noise toll was used.\u0000 The results of the interpretation of the standard production well logging, additional information on the noise data are analyzed. The temperature and pressure fields in the wellbore and in the reservoir are numerically simulated. As a result of the inverse problem solution, the contribution of each layer to total injection was determined, including the contribution of the overlapped tubing interval.\u0000 The following results were obtained: The injectivity profile of the well at two different injection modes.Behind-the-casing flows of fluid above and below the perforated zone. A quantitative assessment of behind the casing flow contribution in two different injection modes is made.The location of casing leakage above the perforated zone is revealed, as well as a quantitative assessment of the contribution of fluid inflow from this location in two different modes of injection is made.The internal fluid circulation between the casing leakage point and the perforation zone is determined.\u0000 As a result of simulating it was established: Behind-the-casing flow down is insignificant and repair and insulation works are not required.Behind-the-casing flow upwards is insignificant, but its effect is associated with long-term injection into an undeveloped formation. When the injection pressure decreases, this form","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"401 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":"115992527","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":"Impact of Compressibility Change due to Overpressure on HC Volume on Karachaganak Gas Condensate Field","authors":"A. Ibragimov, A. Kan, Nurbolat Kalmuratov","doi":"10.2118/196919-ms","DOIUrl":"https://doi.org/10.2118/196919-ms","url":null,"abstract":"\u0000 Inappropriate surface infrastructure sizing due to overestimation of initial reserves may lead to financial losses for a company. One of the many reasons why surface facilities are inappropriately sized is due to lack of subsurface understanding, misinterpretation or lack of data [1]. The current work is dedicated to give more understanding on possible expected behavior of the Karachaganak field based on hard data and its implications on hydrocarbons in place.\u0000 The Karachaganak gas condensate field is 20% overpressured reservoir. Current production is mainly focused on oil rim. Gas production is delayed to later times, as a blow down process. Based on real cases in the past for overpressured gas reservoirs there was developed a special material balance equation where it assumes different compressibility for a reservoir before and after reaching hydrostatic pressure. There are two main theories that explain the causes of overpressured reservoir material balance calculations [2]. Rock collapse theoryShale water influx theory\u0000 The Karachaganak field is a carbonate field with negligible amount of shale which excludes the shale water influx theory. Repeated well test data measured on the same well during a different period of the well life clearly show how rock collapse theory works in the field thus supporting the first theory occurrence on the field.\u0000 Based on the current simulation model with implementation of changing compressibility to reflect pore collapse, authors provide calculations and its impact on original oil and gas in place volumes.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"122 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":"115469554","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":"Applying Streamline Method for Viscoplastic Oil Flow Simulation","authors":"Y. Nevmerzhitskiy","doi":"10.2118/196873-ms","DOIUrl":"https://doi.org/10.2118/196873-ms","url":null,"abstract":"\u0000 The work is devoted to the application of the streamline method for modeling nonisothermal nonlinear flow of viscoplastic oils. Two-dimensional plane problem of flow of water, gas and viscoplastic oil. The oil phase consists of two pseudocomponents: light and heavy fractions, which can gasify. The aqueous phase is represented only by one component, which can also gasify. During the simulation, the dependence of oil rheology on temperature is taken into account.\u0000 The distinctive feature of the proposed streamline method is consideration of the process of integration of the system of flow equations integrations as a set of quasiequilibrium states, which are achived by simulation on a global grid during the relaxation time. Between these states, the calculation is carried out on the streamlines. This approach allows to account for changes of pressure, temperature, saturations during solving a system, rather than using streamlines to calculate temperature and saturations at a fixed pressure.\u0000 Verification of the developed program was carried out by comparison with the results of calculations on commercial software. The convergence of the method when changing the number of streamlines, grids on streamlines, as well as the relationship between the times of calculations on the global grid and streamlines was also investigated.\u0000 To study the efficiency of thermal methods of enhanced oil recovery in reservoirs with viscoplastic oils, test calculations were performed on the element of a five-spot pattern. In addition, the informativeness of standard techniques for well tests interpretation for viscoplastic oils has been investigated, and recommendations have been made to determine threshold pressure gradient by well test results.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"100 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":"123146475","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":"Efficiency Analysis of ESP Lifted Wells in the Context of Virtual Flow Metering","authors":"I. Krylov, S. Budennyy, R. Khabibullin, A. Loginov, A. Andrianova, O. Kobzar, A. Margarit","doi":"10.2118/196817-ms","DOIUrl":"https://doi.org/10.2118/196817-ms","url":null,"abstract":"\u0000 Due to need for optimal management of a large wells stock with a relatively limited amount of conditioned data, the need for a focus rapid detection of implicit complications in the work (mechanical wear of the working bodies of the pump) and an increase in overhaul period of submersible equipment increases. Real-time monitoring of all wells in the debit is limited due to infrastructure problems and high costs of measuring activities. Despite this, the possibility of such monitoring is not excluded due to the availability of field information that correlates with the well flow rate and the mode of its operation.\u0000 The article presents an algorithm that, based on telemetry ESP to estimate the parameters that affect the performance of the well and submersible equipment, such as the coefficient of degradation of the outlet characteristics of the pump, the actual efficiency (coefficient of performance) of ESP and the thickness of the deposition of paraffin on the inner walls of the tubing.\u0000 When processing field data, the parameters correlating with the well flow rate were revealed, which allowed to build a model of a virtual flow meter to verify the existing flow rate measurements and restore the missing values. The basis of the physical and mathematical approach is an algorithm that connects the parameters of the ESP system with the flow rate through the power consumption and hydraulic calculations of the gas-liquid mixture flow in the tubing. After preliminary calibration of pressure-flow characteristics of ESP for real mode of operation, daily measurements of fluid flow rate with a periodicity of 1 hour were calculated.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"7 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":"131655789","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":"Analysis of Factors Influenced on Oil Rim Breaking up During Gas Cap Development","authors":"D. Samolovov","doi":"10.2118/196914-ms","DOIUrl":"https://doi.org/10.2118/196914-ms","url":null,"abstract":"\u0000 The main goal of the present paper is to determine main factors affected on oil rim breaking up ratio during gas cap development, to construct analytical model of this process and to develop method for movable oil reserves decrease estimation based on the analytical model.\u0000 Field with underlaying oil rim is considered. Gas cap development leads to reservoir pressure decrease, oil viscocity increase due to dissolved gas liberation and underlaying water expands sweeping oil from oil rim and forming immobile oil reserves behind displacement front. For volume of penetrating water estimation material balance equation is considered. Equation is solved in analytical form using linearization of main oil and gas properties deopendencies from pressure. For immobile oil reserves calculation balance equation is considered taking into account initial and residual saturations of oil, gas and water. For determine main factors affected breaking up ratio dimensional analysis is used.\u0000 In the present paper main factors affected oil rim breaking up ratio is determined. There are factors characterized reservoir energetic, oil and gas reserves, relative permeability properties, ratio of gas production. During dimensional analysis count of this factors was reduced to five, this is dimensionless potential of gas cap, dimensionless potential of aquifer, dimensionless gas production, displacement efficiency of oil by water and water's redisplacement efficiency of oil sweeping gas. Also it is shown that presence of strong aquifer intensifies breaking up because expanding water forms essential volume of immobile oil reserves.\u0000 Novelty of this work consists of analytical model of oil rim breaking up during gas cap development and determination of main factors affected breaking up ratio. Results can be used for estimation of gas cap development on movable oil reserves in oil rim and for estimation of oil rim development efficiency with early gas cap development.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"78 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":"131663509","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 the Assessment and Control of Risk to the Health of Oil Company Employees On the Basis of Information Obtained From Portable Staff Devices","authors":"Leonid Tikhomirov, Dmitry Tachkin, Sergei Sinaisky","doi":"10.2118/196951-ms","DOIUrl":"https://doi.org/10.2118/196951-ms","url":null,"abstract":"\u0000 It is proposed that decision-making issues in the HSE management system should be resolved taking into account factors that are new, such as employees' health and their level of stress, thereby significantly improving the quality of the decisions made by management.\u0000 A new approach to assessing and monitoring occupational health risks for employees has been developed using information obtained from wearable personal devices (WPD's) so that employees' medical health characteristics can be used in the HSE management system.\u0000 Technology involving the remote, continuous monitoring of employees' health using WPD's enables information to be acquired in a mode close to real-time mode.\u0000 Incorporating supplementary, up-to-date information concerning employees' health, and level of stress, into the process of preparing and making decisions has a more significant impact when compared to traditional approaches based on a system of scheduled medical check-ups.","PeriodicalId":143392,"journal":{"name":"Day 1 Tue, October 22, 2019","volume":"66 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":"132937717","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}