{"product_id":"harness-oil-and-gas-big-data-with-analytics-isbn-9781118779316","title":"Harness Oil and Gas Big Data with Analytics","description":"\u003cb\u003eUse big data analytics to efficiently drive oil and gas exploration and production\u003c\/b\u003e  \u003cp\u003e\u003ci\u003eHarness Oil and Gas Big Data with Analytics\u003c\/i\u003e provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and rejuvenation of oil and gas assets.\u003c\/p\u003e \u003cp\u003eThe book serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. This comprehensive resource delves into the three major issues that face the oil and gas industry during the exploration and production stages:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eData management, including storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data\u003c\/li\u003e \u003cli\u003eQuantification of uncertainty, including a look at the statistical and data analytics methods for making predictions and determining the certainty of those predictions\u003c\/li\u003e \u003cli\u003eRisk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly deal with unknown risks\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eCovering the major issues facing the oil and gas industry in the exploration and production stages, \u003ci\u003eHarness Big Data with Analytics\u003c\/i\u003e reveals how to model big data to realize efficiencies and business benefits.\u003c\/p\u003e \u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Fundamentals of Soft Computing 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCurrent Landscape in Upstream Data Analysis 2\u003c\/p\u003e \u003cp\u003eEvolution from Plato to Aristotle 9\u003c\/p\u003e \u003cp\u003eDescriptive and Predictive Models 10\u003c\/p\u003e \u003cp\u003eThe SEMMA Process 13\u003c\/p\u003e \u003cp\u003eHigh-Performance Analytics 14\u003c\/p\u003e \u003cp\u003eThree Tenets of Upstream Data 18\u003c\/p\u003e \u003cp\u003eExploration and Production Value Propositions 20\u003c\/p\u003e \u003cp\u003eOilfield Analytics 22\u003c\/p\u003e \u003cp\u003eI am a. . . 27\u003c\/p\u003e \u003cp\u003eNotes 31\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Data Management 33\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExploration and Production Value Proposition 34\u003c\/p\u003e \u003cp\u003eData Management Platform 36\u003c\/p\u003e \u003cp\u003eArray of Data Repositories 45\u003c\/p\u003e \u003cp\u003eStructured Data and Unstructured Data 49\u003c\/p\u003e \u003cp\u003eExtraction, Transformation, and Loading Processes 50\u003c\/p\u003e \u003cp\u003eBig Data Big Analytics 52\u003c\/p\u003e \u003cp\u003eStandard Data Sources 54\u003c\/p\u003e \u003cp\u003eCase Study: Production Data Quality Control Framework 55\u003c\/p\u003e \u003cp\u003eBest Practices 57\u003c\/p\u003e \u003cp\u003eNotes 62\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Seismic Attribute Analysis 63\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExploration and Production Value Propositions 63\u003c\/p\u003e \u003cp\u003eTime-Lapse Seismic Exploration 64\u003c\/p\u003e \u003cp\u003eSeismic Attributes 65\u003c\/p\u003e \u003cp\u003eReservoir Characterization 68\u003c\/p\u003e \u003cp\u003eReservoir Management 69\u003c\/p\u003e \u003cp\u003eSeismic Trace Analysis 69\u003c\/p\u003e \u003cp\u003eCase Study: Reservoir Properties Defined by Seismic Attributes 90\u003c\/p\u003e \u003cp\u003eNotes 106\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Reservoir Characterization and Simulation 107\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExploration and Production Value Propositions 108\u003c\/p\u003e \u003cp\u003eExploratory Data Analysis 111\u003c\/p\u003e \u003cp\u003eReservoir Characterization Cycle 114\u003c\/p\u003e \u003cp\u003eTraditional Data Analysis 114\u003c\/p\u003e \u003cp\u003eReservoir Simulation Models 116\u003c\/p\u003e \u003cp\u003eCase Studies 122\u003c\/p\u003e \u003cp\u003eNotes 138\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Drilling and Completion Optimization 139\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExploration and Production Value Propositions 140\u003c\/p\u003e \u003cp\u003eWorkflow One: Mitigation of Nonproductive Time 142\u003c\/p\u003e \u003cp\u003eWorkflow Two: Drilling Parameter Optimization 151\u003c\/p\u003e \u003cp\u003eCase Studies 154\u003c\/p\u003e \u003cp\u003eNotes 173\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Reservoir Management 175\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExploration and Production Value Propositions 177\u003c\/p\u003e \u003cp\u003eDigital Oilfield of the Future 179\u003c\/p\u003e \u003cp\u003eAnalytical Center of Excellence 185\u003c\/p\u003e \u003cp\u003eAnalytical Workflows: Best Practices 188\u003c\/p\u003e \u003cp\u003eCase Studies 192\u003c\/p\u003e \u003cp\u003eNotes 212\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Production Forecasting 213\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExploration and Production Value Propositions 214\u003c\/p\u003e \u003cp\u003eWeb-Based Decline Curve Analysis Solution 216\u003c\/p\u003e \u003cp\u003eUnconventional Reserves Estimation 235\u003c\/p\u003e \u003cp\u003eCase Study: Oil Production Prediction for Infill Well 237\u003c\/p\u003e \u003cp\u003eNotes 242\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Production Optimization 243\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExploration and Production Value Propositions 245\u003c\/p\u003e \u003cp\u003eCase Studies 246\u003c\/p\u003e \u003cp\u003eNotes 273\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Exploratory and Predictive Data Analysis 275\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExploration and Production Value Propositions 276\u003c\/p\u003e \u003cp\u003eEDA Components 278\u003c\/p\u003e \u003cp\u003eEDA Statistical Graphs and Plots 284\u003c\/p\u003e \u003cp\u003eEnsemble Segmentations 290\u003c\/p\u003e \u003cp\u003eData Visualization 292\u003c\/p\u003e \u003cp\u003eCase Studies 296\u003c\/p\u003e \u003cp\u003eNotes 308\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Big Data: Structured and Unstructured 309\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExploration and Production Value Propositions 312\u003c\/p\u003e \u003cp\u003eHybrid Expert and Data-Driven System 315\u003c\/p\u003e \u003cp\u003eCase Studies 321\u003c\/p\u003e \u003cp\u003eMultivariate Geostatistics 330\u003c\/p\u003e \u003cp\u003eBig Data Workflows 332\u003c\/p\u003e \u003cp\u003eIntegration of Soft Computing Techniques 336\u003c\/p\u003e \u003cp\u003eNotes 341\u003c\/p\u003e \u003cp\u003eGlossary 343\u003c\/p\u003e \u003cp\u003eAbout the Author 349\u003c\/p\u003e \u003cp\u003eIndex 351\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eKEITH R. HOLDAWAY\u003c\/b\u003e is Principal Industry Consultant and Principal Solutions Architect at SAS, where he helps drive implementation of innovative oil and gas solutions and products. He also develops business opportunities for the SAS global oil and gas business unit that align SAS advanced analytics from Exploratory Data Analysis and predictive models to subsurface reservoir characterization and drilling\/production optimization in conventional and unconventional fields. Prior to joining SAS, Holdaway was a senior geophysicist with Shell Oil, where he conducted seismic processing and interpretation and determined seismic attributes in 3D cubes for soft computing statistical data mining.    \u003c\/p\u003e\u003cp\u003eUncertainty is the enemy of oil and gas exploration and production—and while it will never be eliminated entirely from these processes, big data analytics can go a long way to mitigating risks and revealing efficiencies that can make energy production more reliable and profitable. With \u003ci\u003eHarness Oil and Gas Big Data with Analytics\u003c\/i\u003e, expert author Keith Holdaway offers the most comprehensive compendium of advanced analytics methodologies that oil and gas engineers can apply to their data. \u003c\/p\u003e\u003cp\u003eThis complete resource serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. The book delves into the three major issues that face the oil and gas industry during the exploration and production stages:\u003c\/p\u003e\u003cul\u003e \u003cli\u003eData management, including a discussion of the challenge of storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data\u003c\/li\u003e \u003cli\u003eQuantification of uncertainty, featuring an in-depth review of the statistical and data analytics methods for making predictions and determining the relative certainty of those predictions\u003c\/li\u003e \u003cli\u003eRisk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly assess and prepare for unknown risks\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eIntended as a hands-on guide, this resource provides a complete overview of upstream data analysis and data management and then dives into details specific to the industry, addressing such topics as seismic attribute analysis, drilling and completion optimization, reservoir management, production optimization, and exploratory and predictive data analysis. Covering the major issues facing the oil and gas industry in the exploration and production stages, this groundbreaking work reveals how to model big data to realize efficiencies and business benefits in the oil and gas exploration and production phases like never before.   \u003c\/p\u003e\u003cp\u003eUncertainty is the enemy of oil and gas exploration and production—and while it will never be eliminated entirely from these processes, big data analytics can go a long way to mitigating risks and revealing efficiencies that can make energy production more reliable and profitable. With \u003ci\u003eHarness Oil and Gas Big Data with Analytics\u003c\/i\u003e, expert author Keith Holdaway offers the most comprehensive compendium of advanced analytics methodologies that oil and gas engineers can apply to their data. \u003c\/p\u003e\u003cp\u003eThis complete resource serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. The book delves into the three major issues that face the oil and gas industry during the exploration and production stages: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eData management, including a discussion of the challenge of storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data\u003c\/li\u003e \u003cli\u003eQuantification of uncertainty, featuring an in-depth review of the statistical and data analytics methods for making predictions and determining the relative certainty of those predictions\u003c\/li\u003e \u003cli\u003eRisk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly assess and prepare for unknown risks\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eIntended as a hands-on guide, this resource provides a complete overview of upstream data analysis and data management and then dives into details specific to the industry, addressing such topics as seismic attribute analysis, drilling and completion optimization, reservoir management, production optimization, and exploratory and predictive data analysis. Covering the major issues facing the oil and gas industry in the exploration and production stages, this groundbreaking work reveals how to model big data to realize efficiencies and business benefits in the oil and gas exploration and production phases like never before.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989346992357,"sku":"NP9781118779316","price":75.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118779316.jpg?v=1761783758","url":"https:\/\/k12savings.com\/es\/products\/harness-oil-and-gas-big-data-with-analytics-isbn-9781118779316","provider":"K12savings","version":"1.0","type":"link"}