目录 丛书序 序 前言 Preface 第1章绪论1 1.1数字油田数据建设1 1.1.1数字油田建设的基本估计1 1.1.2数字油田建设的基本评价2 1.1.3数字油田建设面临的问题4 1.2数字油田数据问题与研究内容7 1.2.1数据概念与特征7 1.2.2数字油田数据概念与特征10 1.2.3数字油田数据研究内容13 1.3油田数据建设与研究方法论15 1.3.1石油科学方法论15 1.3.2系统工程方法论17 1.3.3油田数据学19 1.4小结22 第2章数据工程与数据科学23 2.1数据工程概念与研究23 2.1.1数据工程概念23 2.1.2数据工程研究26 2.1.3数据工程方法28 2.2数据科学概念与研究33 2.2.1数据科学背景与概念33 2.2.2数据科学特征与问题36 2.2.3数据科学研究范式39 2.3数字油田数据工程与科学问题40 2.3.1数字油田数据工程问题40 2.3.2数字油田数据科学研究思想与问题43 2.3.3数字油田数据工程与科学发展趋势46 2.4小结47 第3章油田数据采集48 3.1油田数据采集48 3.1.1数据采集的背景48 3.1.2数据采集53 3.2油田数据源60 3.2.1数据源的概念60 3.2.2油田数据源62 3.2.3数字油田数据源63 3.3油田数据资源66 3.3.1数据资源的概念66 3.3.2数据资源的价值67 3.3.3油田数据经济评价77 3.4小结80 第4章油田数据存储与建设81 4.1数据存储81 4.1.1数据存储的概念与作用81 4.1.2数据存储模式83 4.1.3油田数据存储建设83 4.2数据中心研究86 4.2.1数据中心概念86 4.2.2国内油田企业数据中心建设88 4.2.3数据中心问题讨论94 4.3油田数据存储未来95 4.3.1云计算与云存储95 4.3.2油田数据存储发展与趋势97 4.3.3数据存储创新发展的讨论99 4.4小结102 第5章油田数据管理103 5.1油田数据管理的概念与作用103 5.1.1油田数据管理的概念103 5.1.2数据管理科学化106 5.1.3数据管理方法108 5.2油田数据管理体系109 5.2.1油田数据管理的目标与研究109 5.2.2油田数据管理体系建设110 5.2.3油田数据资源质量控制体系建设115 5.2.4油田数据安全自主可控体系119 5.3油田数据管理未来123 5.3.1数字油田建设未来技术123 5.3.2云平台源头数据资源管理创新124 5.3.3油田数据资源管理的未来125 5.4小结126 第6章油田数据的应用127 6.1油田数据应用127 6.1.1数据应用的业务背景127 6.1.2油田数据应用的特点129 6.1.3数据应用模式130 6.1.4数据应用的方法与技术132 6.2油田数据的领域应用139 6.2.1油田生产动态管理数据应用139 6.2.2油田专业研究的数据应用144 6.2.3油田管理与决策的数据应用150 6.2.4油田经营管理数据应用153 6.3数字油田数据的应用观155 6.3.1数字油田数据的应用现状155 6.3.2数字油田的数据应用策略156 6.3.3数据应用的未来展望157 6.4小结158 第7章油田应用系统与开发160 7.1油田应用系统的概念与建设160 7.1.1油田应用系统的概念与分类160 7.1.2数据与油田应用系统164 7.1.3典型油田应用管理系统166 7.2油田应用系统开发175 7.2.1油田应用系统开发176 7.2.2油田应用系统开发技术180 7.2.3油田应用系统开发方法论181 7.3油田应用系统未来趋势183 7.3.1油田应用系统的困境183 7.3.2油田应用系统创新185 7.3.3油田应用系统趋势187 7.4小结188 第8章油田数据集成与平台189 8.1数据集成与油田数据集成189 8.1.1数据集成的概念189 8.1.2数据集成原理与关键技术190 8.1.3数据集成问题与解决办法193 8.1.4数字油田数据集成方法196 8.2油田数据平台199 8.2.1平台的概念200 8.2.2油田数据平台技术与应用201 8.2.3油田平台建设方法206 8.3油田数据集成与平台未来209 8.3.1油田数据集成走向209 8.3.2油田数据平台建设与发展210 8.4小结211 第9章油田数据标准与建设213 9.1数字油田的数据标准213 9.1.1数据标准的概念213 9.1.2数据建设与标准先行218 9.2油田数据标准的建设219 9.2.1数据元与元数据219 9.2.2数据标准建设224 9.2.3数据标准建设方法论229 9.3油田数据标准建设创新与未来231 9.4小结232 第10章油田数据研究234 10.1油田数据研究问题234 10.1.1数据研究234 10.1.2数字油田数据研究236 10.2油田多源数据融合研究240 10.2.1油田多源数据融合的概念240 10.2.2数据融合技术与方法241 10.2.3油田数据融合技术与方法244 10.3油田数据转化信息248 10.3.1油田数据转化为信息技术248 10.3.2油田数据融合创新方法255 10.3.3油田数据研究的未来260 10.4小结261 第11章油田大数据与分析262 11.1大数据概念与特征262 11.1.1大数据的概念262 11.1.2大数据时代与特征263 11.1.3大数据的作用与意义265 11.2油田大数据266 11.2.1油田大数据的概念267 11.2.2油田大数据特征270 11.2.3油田大数据应用研究273 11.3油田大数据分析技术与创新279 11.3.1大数据与智能运行280 11.3.2油田大数据与科学研究282 11.3.3油田大数据与未来285 11.4小结287 第12章油田场景时代与数据288 12.1场景时代288 12.1.1场景时代的背景与概念288 12.1.2场景时代技术289 12.1.3场景时代的特征291 12.2场景时代数据292 12.2.1场景时代数据292 12.2.2场景时代数据特征294 12.2.3场景时代数据研究294 12.3油田场景时代297 12.3.1油田场景时代与特征297 12.3.2油田场景时代数据应用299 12.3.3油田场景数据应用与未来301 12.4小结304 参考文献306 后记308 Contents General Foreword Foreword Preface Chapter 1Introduction1 1.1Digital Oilfield Data Construction1 1.1.1Basic Estimation of Digital Oilfield Construction1 1.1.2Basic Evaluation of Digital Oilfield Construction2 1.1.3Challenge of Digital Oilfield Construction4 1.2Digital Oilfield Data Problem and Research Content7 1.2.1Data Concept and Characteristic7 1.2.2Data Concept and Characteristic of Digital Oilfield10 1.2.3Data Research Content of Digital Oilfield13 1.3Oilfield Data Construction and Research Methodology15 1.3.1Petroleum Science Methodology15 1.3.2Systematic Engineering Methodology17 1.3.3Oilfield Data Science19 1.4Summary22 Chapter 2Data Engineering and Data Science23 2.1Concept and Research of Data Engineering23 2.1.1Concept of Data Engineering23 2.1.2Research of Data Engineering26 2.1.3Method of Data Engineering28 2.2Concept and Research of Data Science33 2.2.1Background and Concept of Data Science33 2.2.2Characteristic and Problem of Data Science36 2.2.3Research Paradigm of Data Science39 2.3Digital Oilfield Data Engineering and Data Science Problem40 2.3.1Data Engineering Problem of Digital Oilfield40 2.3.2Data Scientific Research Method and Problem of Digital Oilfield43 2.3.3Data Engineering and Scientific Development Tendency of Digital Oilfield46 2.4Summary47 Chapter 3Oilfield Data Collection48 3.1Oilfield Data Collection48 3.1.1Background of Data Collection48 3.1.2Data Collection53 3.2Oilfield Data Source60 3.2.1Concept of Data Source60 3.2.2Oilfield Data Source62 3.2.3The Origin of Digital Oilfield Data63 3.3Oilfield Data Resource66 3.3.1Concept of Data Resource66 3.3.2Value of Data Resource67 3.3.3Oilfield Data Economic Assessment77 3.4Summary80 Chapter 4Oilfield Data Storage and Construction81 4.1Data Storage81 4.1.1Concept and Function of Data Storage81 4.1.2Data Storage Mode83 4.1.3Oilfield Data Storage Construction83 4.2Research of Data Center86 4.2.1Concept of Data Center86 4.2.2Domestic Oilfield Enterprise Data Center Construction88 4.2.3Discussion of Data Center Problem94 4.3Future of Oilfield Data Storage95 4.3.1Cloud Computing and Cloud Storage95 4.3.2Development and Tendency of Oilfield Data Storage 97 4.3.3Discussion of Data Storage Innovative Development Problem99 4.4Summary102 Chapter 5Oilfield Data Management103 5.1Concept and Function of Oilfield Data Management103 5.1.1Concept of Oilfield Data Management103 5.1.2Scientific Data Management106 5.1.3Method of Data Management108 5.2Oilfield Data Management System109 5.2.1Aim and Research of Data Management109 5.2.2Oilfield Data Management System Construction110 5.2.3Data Resource Quality Controlling System Construction115 5.2.4Data Security Independent Controlling System119 5.3Future of Oilfield Data Management123 5.3.1Future Technology of Digital Oilfield Construction123 5.3.2Cloud Platform Source Data Resource Management Innovation124 5.3.3Future of Oilfield Data Resource Management125 5.4Summary126 Chapter 6Application of Oilfield Data127 6.1Oilfield Data Application127 6.1.1Business Background of Data Application127 6.1.2Characteristic of Oilfield Data Application129 6.1.3Data Application Mode130 6.1.4Methods and Technology of Data Application132 6.2Data Application in Oilfield Area139 6.2.1Field Production Dynamic Management139 6.2.2Data Application in Oilfield Professional Research144 6.2.3Data Application in Oilfield Management and Decision making150 6.2.4Data Application in Oilfield Management 153 6.3Digital Oilfield Data Application Conception155 6.3.1Digital Oilfield Data Application Present Situation155 6.3.2Digital Oilfield Data Application Strategy156 6.3.3Prospect of Data Application157 6.4Summary158 Chapter 7Oilfield Application System and Development160 7.1Concept and Construction of Oilfield Application System160 7.1.1Concept and Classification of Oilfield Application System160 7.1.2Data and Oilfield Application System164 7.1.3Typical Oilfield Application Management System166 7.2Oilfield Application System Development175 7.2.1Development of Oilfield Application System176 7.2.2Oilfield Application System Development Technology180 7.2.3Oilfield Application System Development Methodology181 7.3Tendency of Oilfield Application System183 7.3.1Dilemma of Oilfield Application System183 7.3.2Innovation of Oilfield Application System 185 7.3.3Tendency of Oilfield Application System187 7.4Summary188 Chapter 8Oilfield Data Integration and Platform189 8.1Data Integration and Oilfield Data Integration189 8.1.1Concept of Data Integration189 8.1.2Data Integration Principle and Key Technology190 8.1.3Problems and Solutions of Data Integration193 8.1.4Digital Oilfield Data Integrated Approach196 8.2Oilfield Data Platform199 8.2.1Concept of Platform200 8.2.2Oilfield Data Platform Technology and Application201 8.2.3Oilfield Data Platform Construction Method206 8.3Future of Oilfield Data Integration and Platform209 8.3.1Oilfield Data Integration Trend209 8.3.2Construction and Development of Oilfield Data Platform210 8.4Summary211 Chapter 9 Oilfield Data Standard and Construction213 9.1Data Standard of Digital Oilfield213 9.1.1Concept of Data Standard213 9.1.2Standard First in Data Construction218 9.2Oilfield Data Standard and Construction219 9.2.1Basis of Data and Data Element219 9.2.2Data Standard Construction224 9.2.3Data Standard Construction Methodology229 9.3Innovation and Prospect of Oilfield Data Standard Construction231 9.4Summary232 Chapter 10Oilfield Data Research234 10.1Oilfield Data Research234 10.1.1Data Research234 10.1.2Digital Oilfield Data Research236 10.2Oilfield Multi source Data Fusion Research240 10.2.1Oilfield Multi source Data Fusion Concept240 10.2.2Data Fusion Technology and Method241 10.2.3Oilfield Data Fusion Technology and Method244 10.3Oilfield Data Transform into Information248 10.3.1Oilfield Data Transform into Information Technology248 10.3.2Oilfield Data Fusion Innovative Method255 10.3.3Future of Oilfield Data Research260 10.4Summary261 Chapter 11Oilfield Big Data and Analysis262 11.1Concept and Characteristic of Big Data262 11.1.1Concept of Big Data262 11.1.2Age of Big Data and Its Characteristic263 11.1.3Function and Meaning of Big Data265 11.2Oilfield Big Data266 11.2.1Concept of Oilfield Big Data267 11.2.2Characteristic of Oilfield Big Data270 11.2.3Application Research of Oilfield Big Data273 11.3Oilfield Big Data Analysis Technology and Innovation279 11.3.1Big Data and Intelligent Operating280 11.3.2Oilfield Big Data and Science Research282 11.3.3Big Data and Tendency285 11.4Summary287 Chapter 12Age of Context and Its Data of Oilfield288 12.1Age of Context288 12.1.1Background and Concept of Age of Context288 12.1.2Technology of Age of Context289 12.1.3Characteristic of Age of Context291 12.2Age of Context Data292 12.2.1Age of Context Data292 12.2.2Age of Context Data Characteristic294 12.2.3Age of Context Data Research294 12.3Age of Context of Oilfield297 12.3.1Age of Context and Its Characteristic of Oilfield297 12.3.2Oilfield Age of Context Data Application299 12.3.3Application and Future of Oilfield Context Data 301 12.4Summary304 References306 Afterward308
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