Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Harness oil and gas big data with analytics : optimize exploration and production with data driven models / / Keith R. Holdaway
| Harness oil and gas big data with analytics : optimize exploration and production with data driven models / / Keith R. Holdaway |
| Autore | Holdaway Keith R |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (378 p.) |
| Disciplina | 665.5068/4 |
| Collana | Wiley & SAS Business Series |
| Soggetto topico |
Petroleum industry and trade
Gas industry Big data |
| ISBN |
1-118-91094-X
1-118-91089-3 1-118-91095-8 |
| Classificazione | BUS070040 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Preface Chapter 01: Fundamentals of Soft Computing Current Landscape in Upstream Data Analysis Evolution from Plato to Aristotle Descriptive and Predictive Models The SEMMA Process High Performance Analytics Three Tenets of Upstream Data Exploration and Production Value Propositions Oilfield Analytics I am a... Notes Chapter 02: Data Management Exploration and Production Value Proposition Data Management Platform Array of Data Repositories Structured Data and Unstructured Data Extraction, Transformation, and Loading Processes Big Data Big Analytics Standard Data Sources Case Study: Production Data Quality Control Framework Best Practices Notes Chapter 03: Seismic Attribute Analysis Exploration and Production Value Propositions Time-Lapse Seismic Exploration Seismic Attributes Reservoir Characterization Reservoir Management Seismic Trace Analysis Case Studies Reservoir Properties defined by Seismic Attributes Notes Chapter 04 Reservoir Characterization and Simulation Exploration and Production Value Propositions Exploratory Data Analysis Reservoir Characterization Cycle Traditional Data Analysis Reservoir Simulation Models Case Studies Notes Chapter 05: Drilling and Completion Optimization Exploration and Production Value Propositions Workflow One: Mitigation of Non-Productive Time Workflow Two: Drilling Parameter Optimization 5.5 Case Studies: Steam Assisted Gravity Drainage Completion Notes Chapter 06: Reservoir Management Exploration and Production Value Propositions Digital Oilfield of the Future Analytical Centers of Excellence Analytical Workflows: Best Practices Case Studies Notes Chapter 07: Production Forecasting Exploration and Production Value Propositions Web-Based Decline Curve Analysis Solution Unconventional Reserves Estimation Case Study: Oil Production Prediction for Infill Well Notes Chapter 08: Production Optimization Exploration and Production Value Propositions Case Studies Notes Chapter 09: Exploratory and Predictive Data Analysis Exploration and Production Value Propositions EDA Components EDA Statistical Graphs and Plots Ensemble Segmentations Data Visualization Case Studies Notes Chapter 10: Big Data: Structured and Unstructured Exploration and Production Value Propositions Hybrid Expert and Data Driven System Case Studies Multivariate Geostatistics Big Data Workflows Integration of Soft Computing Techniques Notes Glossary About the Author Index . |
| Record Nr. | UNINA-9910132216903321 |
Holdaway Keith R
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Harness oil and gas big data with analytics : optimize exploration and production with data driven models / / Keith R. Holdaway
| Harness oil and gas big data with analytics : optimize exploration and production with data driven models / / Keith R. Holdaway |
| Autore | Holdaway Keith R |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (378 p.) |
| Disciplina | 665.5068/4 |
| Collana | Wiley & SAS Business Series |
| Soggetto topico |
Petroleum industry and trade
Gas industry Big data |
| ISBN |
1-118-91094-X
1-118-91089-3 1-118-91095-8 |
| Classificazione | BUS070040 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Preface Chapter 01: Fundamentals of Soft Computing Current Landscape in Upstream Data Analysis Evolution from Plato to Aristotle Descriptive and Predictive Models The SEMMA Process High Performance Analytics Three Tenets of Upstream Data Exploration and Production Value Propositions Oilfield Analytics I am a... Notes Chapter 02: Data Management Exploration and Production Value Proposition Data Management Platform Array of Data Repositories Structured Data and Unstructured Data Extraction, Transformation, and Loading Processes Big Data Big Analytics Standard Data Sources Case Study: Production Data Quality Control Framework Best Practices Notes Chapter 03: Seismic Attribute Analysis Exploration and Production Value Propositions Time-Lapse Seismic Exploration Seismic Attributes Reservoir Characterization Reservoir Management Seismic Trace Analysis Case Studies Reservoir Properties defined by Seismic Attributes Notes Chapter 04 Reservoir Characterization and Simulation Exploration and Production Value Propositions Exploratory Data Analysis Reservoir Characterization Cycle Traditional Data Analysis Reservoir Simulation Models Case Studies Notes Chapter 05: Drilling and Completion Optimization Exploration and Production Value Propositions Workflow One: Mitigation of Non-Productive Time Workflow Two: Drilling Parameter Optimization 5.5 Case Studies: Steam Assisted Gravity Drainage Completion Notes Chapter 06: Reservoir Management Exploration and Production Value Propositions Digital Oilfield of the Future Analytical Centers of Excellence Analytical Workflows: Best Practices Case Studies Notes Chapter 07: Production Forecasting Exploration and Production Value Propositions Web-Based Decline Curve Analysis Solution Unconventional Reserves Estimation Case Study: Oil Production Prediction for Infill Well Notes Chapter 08: Production Optimization Exploration and Production Value Propositions Case Studies Notes Chapter 09: Exploratory and Predictive Data Analysis Exploration and Production Value Propositions EDA Components EDA Statistical Graphs and Plots Ensemble Segmentations Data Visualization Case Studies Notes Chapter 10: Big Data: Structured and Unstructured Exploration and Production Value Propositions Hybrid Expert and Data Driven System Case Studies Multivariate Geostatistics Big Data Workflows Integration of Soft Computing Techniques Notes Glossary About the Author Index . |
| Record Nr. | UNINA-9910824373603321 |
|
Holdaway Keith R
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Project management in the oil and gas industry / / Mohamed A. El-Reedy
| Project management in the oil and gas industry / / Mohamed A. El-Reedy |
| Autore | El-Reedy Mohamed A (Mohamed Abdallah) |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (339 p.) |
| Disciplina | 665.5068/4 |
| Soggetto topico |
Petroleum industry and trade - Management
Project management |
| ISBN |
1-119-08410-5
1-5231-1038-4 1-119-08412-1 1-119-08411-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Dedication; Contents; Preface; About the Author; 1 How to Manage Oil and Gas Projects; 1.1 The Principal of Project Management; 1.2 Project Characteristics; 1.3 Project Life Cycle; 1.3.1 Initiation of the Project; 1.3.1.1 Getting to the Scope Baseline; 1.3.2 Feasibility Study; 1.3.3 FEED (Preliminary) Engineering; 1.3.4 Detail Engineering; 1.3.5 Decision Support Package; 1.3.6 Design Management; 1.3.7 Execution Phase; 1.3.8 Commissioning and Startup; 1.4 Is this Project Successful?; 1.4.1 Project Management Goals; 1.4.1.1 Project Integration Management
1.4.1.2 Project Scope Management1.4.1.3 Project Time Management; 1.4.1.4 Project Cost Management; 1.4.1.5 Project Quality Management; 1.4.1.6 Project Human Resource Management; 1.4.1.7 Project Communications Management; 1.4.1.8 Project Risk Management; 1.4.1.9 Project Procurement Management; 1.5 Project Management Tasks; 1.5.1 Define the Project Target; 1.5.2 Define the Scope of Work; 1.5.3 Define the Time Frame; 1.5.4 Define the Available Resources; 1.5.5 Define the Cost; 1.5.6 Evaluate the Master Plan; 1.5.7 Accept the Master Plan; 1.5.8 Schedule Follow Up; 1.5.9 Cost Follow Up 1.5.10 Comparing Between Actual Work and Master Plan Cost1.5.11 Performance Evaluation; 1.6 Project Manager Skill; Quiz; 2 Project Economic Analysis; 2.1 Introduction; 2.2 Project Cash Flow; 2.2.1 Depreciation Methods; 2.2.1.1 Straight-Line Method; 2.2.1.2 Declining-Balance Method; 2.2.1.3 Sum-of-the-Year-Digits; 2.2.1.4 Sinking-Fund Method; 2.2.1.5 Service-Out Method; 2.2.2 Method of Net Present Value (NPV); 2.2.2.1 Inflation Rate; 2.2.3 Minimum Internal Rate of Return (MIRR); 2.2.4 Payout Method; 2.3 Economic Risk Assessment; 2.3.1 Probability Theory 2.3.2 Probability Distribution of Variables2.3.2.1 Normal Distribution; 2.3.2.2 Log Normal Distribution; 2.3.2.3 Binominal Distribution; 2.3.2.4 Poisson Distribution; 2.3.2.5 Exponential Distribution; 2.3.2.6 Weibull Distribution (Rayleigh Distribution); 2.3.2.7 Gamma Distribution; 2.3.2.8 Logistic Distribution; 2.3.2.9 Extreme Value (Gumbel Distribution); 2.3.2.10 Pareto Distribution; 2.3.3 Distribution for Uncertainty Parameters; 2.3.3.1 Triangular Distribution; 2.3.3.2 Uniform Distribution; 2.3.4 Choose the Appropriate Probability Distribution; 2.3.4.1 Chai Square Method 2.3.4.2 Kolmograv-Smirnov (K-S)2.4 Decision Tree; 2.5 Monte-Carlo Simulation Technique; 2.6 Risk Adjusted Value (RAV); 3 Pitfalls in Time Schedule Planning; 3.1 Introduction; 3.1.1 Plan Single Point of Accountability (SPA); 3.1.2 Starting the Plan; 3.1.3 Work Breakdown Structure (WBS); 3.2 Responsibilities of the Team; 3.3 Expected Activity Time Period; 3.4 Calculate the Activity Time Period; 3.5 Time Schedule Preparation; 3.5.1 Gantt Chart; 3.5.2 Arrow Diagram Method (ADM); 3.5.3 Precedence Diagram Method (PDM); 3.5.4 Critical Path Method (CPM) 3.5.5 Program Evaluation and Review Technique (PERT) |
| Record Nr. | UNINA-9910136252103321 |
|
El-Reedy Mohamed A (Mohamed Abdallah)
|
||
| Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Project management in the oil and gas industry / / Mohamed A. El-Reedy
| Project management in the oil and gas industry / / Mohamed A. El-Reedy |
| Autore | El-Reedy Mohamed A (Mohamed Abdallah) |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (339 p.) |
| Disciplina | 665.5068/4 |
| Soggetto topico |
Petroleum industry and trade - Management
Project management |
| ISBN |
1-119-08410-5
1-5231-1038-4 1-119-08412-1 1-119-08411-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Dedication; Contents; Preface; About the Author; 1 How to Manage Oil and Gas Projects; 1.1 The Principal of Project Management; 1.2 Project Characteristics; 1.3 Project Life Cycle; 1.3.1 Initiation of the Project; 1.3.1.1 Getting to the Scope Baseline; 1.3.2 Feasibility Study; 1.3.3 FEED (Preliminary) Engineering; 1.3.4 Detail Engineering; 1.3.5 Decision Support Package; 1.3.6 Design Management; 1.3.7 Execution Phase; 1.3.8 Commissioning and Startup; 1.4 Is this Project Successful?; 1.4.1 Project Management Goals; 1.4.1.1 Project Integration Management
1.4.1.2 Project Scope Management1.4.1.3 Project Time Management; 1.4.1.4 Project Cost Management; 1.4.1.5 Project Quality Management; 1.4.1.6 Project Human Resource Management; 1.4.1.7 Project Communications Management; 1.4.1.8 Project Risk Management; 1.4.1.9 Project Procurement Management; 1.5 Project Management Tasks; 1.5.1 Define the Project Target; 1.5.2 Define the Scope of Work; 1.5.3 Define the Time Frame; 1.5.4 Define the Available Resources; 1.5.5 Define the Cost; 1.5.6 Evaluate the Master Plan; 1.5.7 Accept the Master Plan; 1.5.8 Schedule Follow Up; 1.5.9 Cost Follow Up 1.5.10 Comparing Between Actual Work and Master Plan Cost1.5.11 Performance Evaluation; 1.6 Project Manager Skill; Quiz; 2 Project Economic Analysis; 2.1 Introduction; 2.2 Project Cash Flow; 2.2.1 Depreciation Methods; 2.2.1.1 Straight-Line Method; 2.2.1.2 Declining-Balance Method; 2.2.1.3 Sum-of-the-Year-Digits; 2.2.1.4 Sinking-Fund Method; 2.2.1.5 Service-Out Method; 2.2.2 Method of Net Present Value (NPV); 2.2.2.1 Inflation Rate; 2.2.3 Minimum Internal Rate of Return (MIRR); 2.2.4 Payout Method; 2.3 Economic Risk Assessment; 2.3.1 Probability Theory 2.3.2 Probability Distribution of Variables2.3.2.1 Normal Distribution; 2.3.2.2 Log Normal Distribution; 2.3.2.3 Binominal Distribution; 2.3.2.4 Poisson Distribution; 2.3.2.5 Exponential Distribution; 2.3.2.6 Weibull Distribution (Rayleigh Distribution); 2.3.2.7 Gamma Distribution; 2.3.2.8 Logistic Distribution; 2.3.2.9 Extreme Value (Gumbel Distribution); 2.3.2.10 Pareto Distribution; 2.3.3 Distribution for Uncertainty Parameters; 2.3.3.1 Triangular Distribution; 2.3.3.2 Uniform Distribution; 2.3.4 Choose the Appropriate Probability Distribution; 2.3.4.1 Chai Square Method 2.3.4.2 Kolmograv-Smirnov (K-S)2.4 Decision Tree; 2.5 Monte-Carlo Simulation Technique; 2.6 Risk Adjusted Value (RAV); 3 Pitfalls in Time Schedule Planning; 3.1 Introduction; 3.1.1 Plan Single Point of Accountability (SPA); 3.1.2 Starting the Plan; 3.1.3 Work Breakdown Structure (WBS); 3.2 Responsibilities of the Team; 3.3 Expected Activity Time Period; 3.4 Calculate the Activity Time Period; 3.5 Time Schedule Preparation; 3.5.1 Gantt Chart; 3.5.2 Arrow Diagram Method (ADM); 3.5.3 Precedence Diagram Method (PDM); 3.5.4 Critical Path Method (CPM) 3.5.5 Program Evaluation and Review Technique (PERT) |
| Record Nr. | UNINA-9910826041503321 |
|
El-Reedy Mohamed A (Mohamed Abdallah)
|
||
| Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||