{"title":"Work-Flow Automation Enhances Job Performance and Improves Job-Execution Data","authors":"J. L. Schmitzer, James D. Randall","doi":"10.2118/38116-PA","DOIUrl":"https://doi.org/10.2118/38116-PA","url":null,"abstract":"","PeriodicalId":115136,"journal":{"name":"Spe Computer Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131702642","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}
Changes over the last decade in both the oil industry and the computer industry have substantially complicated the process of delivering software applications. The oil industry has gone through a significant downsizing, while computing advances have users constantly demanding more complete and integrated solutions. Several oil companies’ response to this dilemma has been to establish a policy of "Buy, Don't Build." This mindset is often useful, but does not directly address the real question of how to maximize and leverage limited resources in order to efficiently deliver the necessary applications to the user community. This paper delves beyond the bipolar buy versus build question to present experiences with various approaches that have been used to deliver software. Among the methods discussed are software tools, research institutions, consortia projects, alliances, and industry standards.
{"title":"Buy, Build, Beg or Borrow: Delivering Applications in the New Age of Software Development","authors":"Todd A. Little, S. Webb","doi":"10.2118/38120-PA","DOIUrl":"https://doi.org/10.2118/38120-PA","url":null,"abstract":"Changes over the last decade in both the oil industry and the computer industry have substantially complicated the process of delivering software applications. The oil industry has gone through a significant downsizing, while computing advances have users constantly demanding more complete and integrated solutions. Several oil companies’ response to this dilemma has been to establish a policy of \"Buy, Don't Build.\" This mindset is often useful, but does not directly address the real question of how to maximize and leverage limited resources in order to efficiently deliver the necessary applications to the user community. This paper delves beyond the bipolar buy versus build question to present experiences with various approaches that have been used to deliver software. Among the methods discussed are software tools, research institutions, consortia projects, alliances, and industry standards.","PeriodicalId":115136,"journal":{"name":"Spe Computer Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134165905","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}
The authors describe the evolution of a customer-driven, fit-for-purpose database tool that intelligently combines reserves, production, entitlement/sales, capital expenditures (Capex), operating expenditures (Opex), well scheduling, and separator test data. The tool, Deminex Production and Reserves System (DPARS), evolved from a single-user application on a portable personal computer (PC) to a networked, multiuser, corporate tool used worldwide in a midsize international oil and gas E and P company.
{"title":"DPARS Production and Reserves System: Evolution of a Corporate Tool","authors":"Matthias Borcholt, Gavin D. Robertson","doi":"10.2118/35985-PA","DOIUrl":"https://doi.org/10.2118/35985-PA","url":null,"abstract":"The authors describe the evolution of a customer-driven, fit-for-purpose database tool that intelligently combines reserves, production, entitlement/sales, capital expenditures (Capex), operating expenditures (Opex), well scheduling, and separator test data. The tool, Deminex Production and Reserves System (DPARS), evolved from a single-user application on a portable personal computer (PC) to a networked, multiuser, corporate tool used worldwide in a midsize international oil and gas E and P company.","PeriodicalId":115136,"journal":{"name":"Spe Computer Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116013181","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}
Information management and instant access to information is increasingly important in the day-to-day operation of oil and gas fields, ant the data are only as valuable as the ability to use them to solve problems. This paper presents an example of a project-driven approach to engineering information management of large engineering projects, such as integrated reservoir studies. By project-driven, the authors mean that the design and content of the database are project-specific and custom-built to fit the needs of the project. This approach has the advantage of addressing the specific requirements of a particular project and providing the end users of that database with a customized interface to access the data. The authors used a PC-based relational database from existing engineering data as part of a larger integrated study. The data were originally in a variety of formats. The RDBMS allowed the authors to construct rapidly a database specific to the needs of the project. The database includes forms and reports for data entry and review and graphics for displaying data. In addition, the database is very flexible, allowing changes to be made quickly and easily as the project progresses or if the objectives of the project change along themore » way. Finally, the database can import a wide variety of raw-data formats and export data to other engineering analysis applications.« less
{"title":"Solving Engineering Problems With PC-Based Relational Databases","authors":"P. Bastian, Curtis L. Pietsch, G. Voneiff","doi":"10.2118/38119-PA","DOIUrl":"https://doi.org/10.2118/38119-PA","url":null,"abstract":"Information management and instant access to information is increasingly important in the day-to-day operation of oil and gas fields, ant the data are only as valuable as the ability to use them to solve problems. This paper presents an example of a project-driven approach to engineering information management of large engineering projects, such as integrated reservoir studies. By project-driven, the authors mean that the design and content of the database are project-specific and custom-built to fit the needs of the project. This approach has the advantage of addressing the specific requirements of a particular project and providing the end users of that database with a customized interface to access the data. The authors used a PC-based relational database from existing engineering data as part of a larger integrated study. The data were originally in a variety of formats. The RDBMS allowed the authors to construct rapidly a database specific to the needs of the project. The database includes forms and reports for data entry and review and graphics for displaying data. In addition, the database is very flexible, allowing changes to be made quickly and easily as the project progresses or if the objectives of the project change along themore » way. Finally, the database can import a wide variety of raw-data formats and export data to other engineering analysis applications.« less","PeriodicalId":115136,"journal":{"name":"Spe Computer Applications","volume":"os-53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127793315","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}
S. McLellan, Najib N. Abusalbi, John Brown, W. Quinlivan
The PetroTechnical Open Software Corp. (POSC) was organized in 1990 to define technical methods to make it easier to design interoperable data solutions for oil and gas companies. When POSC rolls out seed implementations, oilfield service members must validate them, correct any errors or ambiguities, and champion these corrections into the original specifications before full integration into POSC-compliant, commercial products. Organizations like POSC are assuming a new role of promoting formation of projects where E and P companies and vendors jointly test their pieces of the migration puzzle on small subsets of the whole problem. The authors describe three such joint projects. While confirming the value of such open cross-company cooperation, these cases also help to redefine interoperability in terms of business objects that will be common across oilfield companies, their applications, access software, data, or data stores.
PetroTechnical Open Software Corp. (POSC)成立于1990年，旨在定义技术方法，使石油和天然气公司更容易设计可互操作的数据解决方案。当POSC推出种子实施时，油田服务人员必须验证它们，纠正任何错误或含糊之处，并在完全集成到符合POSC标准的商业产品之前，将这些纠正纳入原始规范。像POSC这样的组织正在承担促进项目形成的新角色，在这些项目中，E和P公司以及供应商在整个问题的小子集上联合测试他们的迁移拼图。作者描述了三个这样的联合项目。在确认这种开放式跨公司合作的价值的同时，这些案例还有助于重新定义业务对象的互操作性，这些业务对象将在油田公司、应用程序、访问软件、数据或数据存储之间通用。
{"title":"Common business objects: Demonstrating interoperability in the oil and gas industry","authors":"S. McLellan, Najib N. Abusalbi, John Brown, W. Quinlivan","doi":"10.2118/38338-PA","DOIUrl":"https://doi.org/10.2118/38338-PA","url":null,"abstract":"The PetroTechnical Open Software Corp. (POSC) was organized in 1990 to define technical methods to make it easier to design interoperable data solutions for oil and gas companies. When POSC rolls out seed implementations, oilfield service members must validate them, correct any errors or ambiguities, and champion these corrections into the original specifications before full integration into POSC-compliant, commercial products. Organizations like POSC are assuming a new role of promoting formation of projects where E and P companies and vendors jointly test their pieces of the migration puzzle on small subsets of the whole problem. The authors describe three such joint projects. While confirming the value of such open cross-company cooperation, these cases also help to redefine interoperability in terms of business objects that will be common across oilfield companies, their applications, access software, data, or data stores.","PeriodicalId":115136,"journal":{"name":"Spe Computer Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134362947","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}
The Ekofisk field and surrounding Phillips Norway Group fields, also referred to as the greater Ekofisk area fields, are in the southern part of the Norwegian sector of the North Sea. Oil and gas separation and transportation facilities are centrally located on the Ekofisk complex at Ekofisk field. The Ekofisk 2 redevelopment project is designed to replace the oil-/gas-production and -processing capabilities of the existing Ekofisk complex. This requirement grew out of the high operating and maintenance expenses associated with the existing facilities. Other factors of significance were the effects of seafloor subsidence and changing safety regulations. A significant aspect of the Ekofisk field has been reservoir compaction that has resulted in seabed subsidence over the areal extent of the reservoir. After 25 years of production, the cumulative subsidence in the center of the field is more than 21 ft. The redevelopment project addresses the economic, maintenance, and safety factors and maintains the economic viability of Ekofisk and surrounding fields.
{"title":"Optimized Reservoir Management With Mixed Linear Programming","authors":"J. Currie, J. Novotnak, B. T. Aasboee, C. Kennedy","doi":"10.2118/37963-PA","DOIUrl":"https://doi.org/10.2118/37963-PA","url":null,"abstract":"The Ekofisk field and surrounding Phillips Norway Group fields, also referred to as the greater Ekofisk area fields, are in the southern part of the Norwegian sector of the North Sea. Oil and gas separation and transportation facilities are centrally located on the Ekofisk complex at Ekofisk field. The Ekofisk 2 redevelopment project is designed to replace the oil-/gas-production and -processing capabilities of the existing Ekofisk complex. This requirement grew out of the high operating and maintenance expenses associated with the existing facilities. Other factors of significance were the effects of seafloor subsidence and changing safety regulations. A significant aspect of the Ekofisk field has been reservoir compaction that has resulted in seabed subsidence over the areal extent of the reservoir. After 25 years of production, the cumulative subsidence in the center of the field is more than 21 ft. The redevelopment project addresses the economic, maintenance, and safety factors and maintains the economic viability of Ekofisk and surrounding fields.","PeriodicalId":115136,"journal":{"name":"Spe Computer Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123850718","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":"A Decision-Support System for Economic Analysis and Risk Assessment of Subsea Development Scenarios","authors":"N. J. Dyer, J. Ford, A. Tweedie","doi":"10.2118/36802-PA","DOIUrl":"https://doi.org/10.2118/36802-PA","url":null,"abstract":"","PeriodicalId":115136,"journal":{"name":"Spe Computer Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117165165","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}
Changes in technology can alter status-quo thinking about risk and reward and proved reserves drastically. These changes can be subtle or far reaching and can result in a whole new language to describe their impact; the emergence of paradigm shift is an example. Faced with these changes, the decision maker must determine how to evaluate their impact quantitatively. Intuitively, one thinks of reserves as relatively static quantities, although reserves do fluctuate with changes in price and operating cost (affecting the economic limit) and also with the magnitude of capital costs. Proved undeveloped reserves exist when the required capital investment generates an acceptable return. These reserves become resources when that return requirement is not met. The ability to reduce capital costs and/or risk opens up lower-quality resources to the prospect of economic recovery and the potential to become reserves. Study of the size distribution of such resources shows that small pools can contain successively greater quantities of reserves than pools in larger-size classes. As a result of new technology, development of such pools in a controlled cost and risk environment can represent as great a prize as a large-pool discovery. The ability to change the rules because of technology advances opensmore » a vast opportunity for energy self-sufficiency that has ramifications on a national scale.« less
{"title":"Technology aids risk reduction and transforms resources into reserves","authors":"R. Caldwell, D. I. Heather","doi":"10.2118/37933-PA","DOIUrl":"https://doi.org/10.2118/37933-PA","url":null,"abstract":"Changes in technology can alter status-quo thinking about risk and reward and proved reserves drastically. These changes can be subtle or far reaching and can result in a whole new language to describe their impact; the emergence of paradigm shift is an example. Faced with these changes, the decision maker must determine how to evaluate their impact quantitatively. Intuitively, one thinks of reserves as relatively static quantities, although reserves do fluctuate with changes in price and operating cost (affecting the economic limit) and also with the magnitude of capital costs. Proved undeveloped reserves exist when the required capital investment generates an acceptable return. These reserves become resources when that return requirement is not met. The ability to reduce capital costs and/or risk opens up lower-quality resources to the prospect of economic recovery and the potential to become reserves. Study of the size distribution of such resources shows that small pools can contain successively greater quantities of reserves than pools in larger-size classes. As a result of new technology, development of such pools in a controlled cost and risk environment can represent as great a prize as a large-pool discovery. The ability to change the rules because of technology advances opensmore » a vast opportunity for energy self-sufficiency that has ramifications on a national scale.« less","PeriodicalId":115136,"journal":{"name":"Spe Computer Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124413847","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}
Bruce G. Kitchel, S. Moore, William H. Banks, B. Borland
The use of risk analysis has become an integral part of the decision-making process within the Petroleum Industry. Today, petroleum engineers, geoscientists and project managers are using risking tools to evaluate the economic viability of both exploration and development projects. Conoco drilling engineers have combined a drilling cost spread-sheet along with a forecasting and risk analysis program to predict the range of both cost and days necessary to drill a well. The model utilizes risk analysis and incorporates Monte Carlo simulation along with regional cost data to generate drilling cost and time requirements for a well. Using this model, the Conoco drilling engineers effectively evaluate multiple drilling alternatives. Subsequently, more informed risk related recommendations from the drilling engineers aids management in the decision-making process of drilling a prospect or developing a project. This paper describes the spreadsheet and the risk analysis program used to generate the range of costs and days for a given well. In addition, the paper offers an example of the output data generated from the programs with an interpretation for a sample well.
{"title":"Probabilistic Drilling Cost Estimating","authors":"Bruce G. Kitchel, S. Moore, William H. Banks, B. Borland","doi":"10.2118/35990-PA","DOIUrl":"https://doi.org/10.2118/35990-PA","url":null,"abstract":"The use of risk analysis has become an integral part of the decision-making process within the Petroleum Industry. Today, petroleum engineers, geoscientists and project managers are using risking tools to evaluate the economic viability of both exploration and development projects. Conoco drilling engineers have combined a drilling cost spread-sheet along with a forecasting and risk analysis program to predict the range of both cost and days necessary to drill a well. The model utilizes risk analysis and incorporates Monte Carlo simulation along with regional cost data to generate drilling cost and time requirements for a well. Using this model, the Conoco drilling engineers effectively evaluate multiple drilling alternatives. Subsequently, more informed risk related recommendations from the drilling engineers aids management in the decision-making process of drilling a prospect or developing a project. This paper describes the spreadsheet and the risk analysis program used to generate the range of costs and days for a given well. In addition, the paper offers an example of the output data generated from the programs with an interpretation for a sample well.","PeriodicalId":115136,"journal":{"name":"Spe Computer Applications","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129915425","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}
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