基于数字平台的油气资产开发业务计划自动准备功能

I. Frolova, S. Frolov, N. Kayurov, K. S. Serdyuk
{"title":"基于数字平台的油气资产开发业务计划自动准备功能","authors":"I. Frolova, S. Frolov, N. Kayurov, K. S. Serdyuk","doi":"10.3997/2214-4609.202156029","DOIUrl":null,"url":null,"abstract":"Summary The implemented approach in the software made it possible to integrate disparate data of an oil and gas producing enterprise on the basis of a single digital platform. The goal of automated preparation of a business plan for the development of an oil and gas producing enterprise with the level of downhole detail to the level of contractual terms has been achieved. As a result of the program implementation of the process approach, the calculation of net cash flow for each well and infrastructure facilities was implemented, which made it possible to improve the quality of calculations and the level of justification of the indicators laid down for the calculation of the business plan. Integration within the digital platform with automatic production forecasting based on measurement data, data on technological modes and virtual production electricity consumption depending on planned production. This software product is being implemented at oil and gas producing enterprises in Russia. In the future, it is planned to expand the functionality based on the proposed scalable ontological model. For example, the selection of optimal development options based on the specified time limits, finances, technical characteristics and target function. In addition, it is planned to expand the intellectual analysis of actual data and factor analysis of deviations.","PeriodicalId":266953,"journal":{"name":"Data Science in Oil and Gas 2021","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Features of automated preparation of a business plan for the development of an oil and gas asset based on a digital platform\",\"authors\":\"I. Frolova, S. Frolov, N. Kayurov, K. S. Serdyuk\",\"doi\":\"10.3997/2214-4609.202156029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary The implemented approach in the software made it possible to integrate disparate data of an oil and gas producing enterprise on the basis of a single digital platform. The goal of automated preparation of a business plan for the development of an oil and gas producing enterprise with the level of downhole detail to the level of contractual terms has been achieved. As a result of the program implementation of the process approach, the calculation of net cash flow for each well and infrastructure facilities was implemented, which made it possible to improve the quality of calculations and the level of justification of the indicators laid down for the calculation of the business plan. Integration within the digital platform with automatic production forecasting based on measurement data, data on technological modes and virtual production electricity consumption depending on planned production. This software product is being implemented at oil and gas producing enterprises in Russia. In the future, it is planned to expand the functionality based on the proposed scalable ontological model. For example, the selection of optimal development options based on the specified time limits, finances, technical characteristics and target function. In addition, it is planned to expand the intellectual analysis of actual data and factor analysis of deviations.\",\"PeriodicalId\":266953,\"journal\":{\"name\":\"Data Science in Oil and Gas 2021\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data Science in Oil and Gas 2021\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3997/2214-4609.202156029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Science in Oil and Gas 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.202156029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

该软件的实现方法使油气生产企业在单一数字平台上集成不同的数据成为可能。为油气生产企业的发展自动准备商业计划的目标已经实现,其井下细节水平达到了合同条款的水平。由于程序方法的程序实施,实施了每口井和基础设施的净现金流量计算,这使得有可能提高计算的质量和为计算商业计划所规定的指标的合理性。在数字平台内集成基于测量数据的自动生产预测、技术模式数据和基于计划生产的虚拟生产用电量。该软件产品正在俄罗斯的油气生产企业中实施。在未来,计划基于提出的可扩展本体模型扩展功能。例如,根据规定的时限、资金、技术特点和目标功能选择最优发展方案。此外,还计划扩大对实际数据的智能分析和对偏差的因素分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Features of automated preparation of a business plan for the development of an oil and gas asset based on a digital platform
Summary The implemented approach in the software made it possible to integrate disparate data of an oil and gas producing enterprise on the basis of a single digital platform. The goal of automated preparation of a business plan for the development of an oil and gas producing enterprise with the level of downhole detail to the level of contractual terms has been achieved. As a result of the program implementation of the process approach, the calculation of net cash flow for each well and infrastructure facilities was implemented, which made it possible to improve the quality of calculations and the level of justification of the indicators laid down for the calculation of the business plan. Integration within the digital platform with automatic production forecasting based on measurement data, data on technological modes and virtual production electricity consumption depending on planned production. This software product is being implemented at oil and gas producing enterprises in Russia. In the future, it is planned to expand the functionality based on the proposed scalable ontological model. For example, the selection of optimal development options based on the specified time limits, finances, technical characteristics and target function. In addition, it is planned to expand the intellectual analysis of actual data and factor analysis of deviations.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Usage of Machine Learning Algorithms for Structural Boundaries Reconstruction Using The Non-Seismic Methods Data with Feature Selection Modeling of Two-Phase Fluid Flow in a Well Using Machine Learning Algorithms Development of Software for Reserves` Audit Ground Roll Noise Attenuation in The Low-Frequency Space Using a Heuristic Approach Using of Machine Learning Algorithms for Development Analysis of a Brown oil Field Located in The Basement Rocks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1