Onshore Gas Gathering Systems: Design & Operations - PF-45

Course

In San Francisco (USA)

Price on request

Description

  • Type

    Course

  • Location

    San francisco (USA)

  • Start date

    Different dates available

Decision Modeling: application of DA process for modeling; influence diagrams; free cash flow concept; sensitivity analysis; documentation and good modeling practices; real options overview; Monte Carlo Simulation: prospect risking (similar to play analysis); calculating probabilities and distributions with simulation; modeling and optimizing investment portfolios; valuing added control and flexibility; stopping rules; ways to model correlation; Decision Tree Analysis: value of information review; sensitivity analysis; solving with utility for risk aversion; Decision Policy: overview of finance theory related to PV discount rate and risk (CAPM and modern portfolio theory); shareholder value model; portfolio optimization to maximize economic value; efficient frontiers; multi-criteria decisions; risk policy as a utility function; calculating expected utility and certain equivalent; insurance and hedging; optimizing working interests; Implementation: presentation formats; model-centric enterprise model and balanced scorecard (dashboard) element focusing on shareholder value creation forecast

Facilities

Location

Start date

San Francisco (USA)
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333 Bush Street, Suite 2400, 94104

Start date

Different dates availableEnrolment now open

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Subjects

  • IT Management
  • Management
  • Data Management
  • Risk
  • IT risk
  • Simulation
  • Production
  • Interpretation
  • Quality
  • Quality Training
  • Systems
  • Investment
  • Insurance
  • Play
  • Options
  • Finance
  • Cash Flow
  • Presentation
  • Evaluation
  • Basic IT
  • Monitoring
  • Quality management
  • Basic IT training
  • Benefits
  • Security
  • IT Security
  • Governance
  • Basic
  • Design
  • Gas

Course programme

Training Course Content

Decision Modeling: application of DA process for modeling; influence diagrams; free cash flow concept; sensitivity analysis; documentation and good modeling practices; real options overview; Monte Carlo Simulation: prospect risking (similar to play analysis); calculating probabilities and distributions with simulation; modeling and optimizing investment portfolios; valuing added control and flexibility; stopping rules; ways to model correlation; Decision Tree Analysis: value of information review; sensitivity analysis; solving with utility for risk aversion; Decision Policy: overview of finance theory related to PV discount rate and risk (CAPM and modern portfolio theory); shareholder value model; portfolio optimization to maximize economic value; efficient frontiers; multi-criteria decisions; risk policy as a utility function; calculating expected utility and certain equivalent; insurance and hedging; optimizing working interests; Implementation: presentation formats; model-centric enterprise model and balanced scorecard (dashboard) element focusing on shareholder value creation forecast

Capillary pressure applications in reservoir characterization; Rock properties from mercury/air capillary pressures; Capillary pressure data representativeness; Capillary forces in reservoir rocks; their measurement; Capillary pressure data fitting methods; Representing a large number of capillary curves (averaging); Permeability from capillary pressure curves and petrography; Saturation-height functions; Surface phenomena, capillarity, wettability, and interphase tension; The competition between capillary and gravity forces; Relationships between initial and residual saturations; Interpretation of single and multiple pore system rocks; Clay-bound water; Capillary pressure vs. NMR; Seal capacity

Production-related near wellbore damage Scale; Paraffin; Asphaltenes; Corrosion; Erosion; Well diagnostics; Removal techniques; Prevention techniques; Wellbore stabilization; Understanding unwanted water production Extent of the problem; Causes and effects of water production; Monitoring and evaluation techniques; Diagnostics; Defining required attributes and placement controls; Fitting solutions to problems; Remedial water control Challenges and solutions; Environmental considerations; In-Wellbore control; Near-wellbore techniques; Matrix applications; Fractures and voids; Water control Bringing it all together; Engineered process; Initial screening; Reservoir characterization; Simulation; Case studies

Fundamental concepts of petrophysics; Depositional systems and petrophysical rock parameters; Nature of porosity and permeability; Basic rock properties; theory and quicklook techniques; Mudlogging; Core analysis, acquisition, interpretation, and quality checks; Theory and basics of resistivity, radioactivity, acoustic tools; LWD/MWD versus open hole logging; Determination of rock types using core and logs; Cased hole logging; Petrophysical impact on economic uncertainty; Evolving petrophysical technologies

Overview of Data Management: Definition, History of data management, Trends, Data lifecycle, Importance and value of data management, Information orientation, Benefits of good data management, Business case aspects & barriers; Data Types: Definitions, Data types, Data models in E&P; Common Data Management Issues: Typical data issues (possible pitfalls), Causes of data issues, Data management best practices business impact; Data Management Framework: Data governance, Data architecture, Data security, Reference & master data management, Data quality management; Building and Sustaining the Data Management Framework: What to do, What not to do, Building consensus & engaging with the business

Decision Modeling: application of DA process for modeling; influence diagrams; free cash flow concept; sensitivity analysis; documentation and good modeling practices; real options overview; Monte Carlo Simulation: prospect risking (similar to play analysis); calculating probabilities and distributions with simulation; modeling and optimizing investment portfolios; valuing added control and flexibility; stopping rules; ways to model correlation; Decision Tree Analysis: value of information review; sensitivity analysis; solving with utility for risk aversion; Decision Policy: overview of finance theory related to PV discount rate and risk (CAPM and modern portfolio theory); shareholder value model; portfolio optimization to maximize economic value; efficient frontiers; multi-criteria decisions; risk policy as a utility function; calculating expected utility and certain equivalent; insurance and hedging; optimizing working interests; Implementation: presentation formats; model-centric enterprise model and balanced scorecard (dashboard) element focusing on shareholder value creation forecast

Capillary pressure applications in reservoir characterization; Rock properties from mercury/air capillary pressures; Capillary pressure data representativeness; Capillary forces in reservoir rocks; their measurement; Capillary pressure data fitting methods; Representing a large number of capillary curves (averaging); Permeability from capillary pressure curves and petrography; Saturation-height functions; Surface phenomena, capillarity, wettability, and interphase tension; The competition between capillary and gravity forces; Relationships between initial and residual saturations; Interpretation of single and multiple pore system rocks; Clay-bound water; Capillary pressure vs. NMR; Seal capacity

Production-related near wellbore damage Scale; Paraffin; Asphaltenes; Corrosion; Erosion; Well diagnostics; Removal techniques; Prevention techniques; Wellbore stabilization; Understanding unwanted water production Extent of the problem; Causes and effects of water production; Monitoring and evaluation techniques; Diagnostics; Defining required attributes and placement controls; Fitting solutions to problems; Remedial water control Challenges and solutions; Environmental considerations; In-Wellbore control; Near-wellbore techniques; Matrix applications; Fractures and voids; Water control Bringing it all together; Engineered process; Initial screening; Reservoir characterization; Simulation; Case studies

Fundamental concepts of petrophysics; Depositional systems and petrophysical rock parameters; Nature of porosity and permeability; Basic rock properties; theory and quicklook techniques; Mudlogging; Core analysis, acquisition, interpretation, and quality checks; Theory and basics of resistivity, radioactivity, acoustic tools; LWD/MWD versus open hole logging; Determination of rock types using core and logs; Cased hole logging; Petrophysical impact on economic uncertainty; Evolving petrophysical technologies

Overview of Data Management: Definition, History of data management, Trends, Data lifecycle, Importance and value of data management, Information orientation, Benefits of good data management, Business case aspects & barriers; Data Types: Definitions, Data types, Data models in E&P; Common Data Management Issues: Typical data issues (possible pitfalls), Causes of data issues, Data management best practices business impact; Data Management Framework: Data governance, Data architecture, Data security, Reference & master data management, Data quality management; Building and Sustaining the Data Management Framework: What to do, What not to do, Building consensus & engaging with the business

Decision Modeling: application of DA process for modeling; influence diagrams; free cash flow concept; sensitivity analysis; documentation and good modeling practices; real options overview; Monte Carlo Simulation: prospect risking (similar to play analysis); calculating probabilities and distributions with simulation; modeling and optimizing investment portfolios; valuing added control and flexibility; stopping rules; ways to model correlation; Decision Tree Analysis: value of information review; sensitivity analysis; solving with utility for risk aversion; Decision Policy: overview of finance theory related to PV discount rate and risk (CAPM and modern portfolio theory); shareholder value model; portfolio optimization to maximize economic value; efficient frontiers; multi-criteria decisions; risk policy as a utility function; calculating expected utility and certain equivalent; insurance and hedging; optimizing working interests; Implementation: presentation formats; model-centric enterprise model and balanced scorecard (dashboard) element focusing on shareholder value creation forecast

Capillary pressure applications in reservoir characterization; Rock properties from mercury/air capillary pressures; Capillary pressure data representativeness; Capillary forces in reservoir rocks; their measurement; Capillary pressure data fitting methods; Representing a large number of capillary curves (averaging); Permeability from capillary pressure curves and petrography; Saturation-height functions; Surface phenomena, capillarity, wettability, and interphase tension; The competition between capillary and gravity forces; Relationships between initial and residual saturations; Interpretation of single and multiple pore system rocks; Clay-bound water; Capillary pressure vs. NMR; Seal capacity

Production-related near wellbore damage Scale; Paraffin; Asphaltenes; Corrosion; Erosion; Well diagnostics; Removal techniques; Prevention techniques; Wellbore stabilization; Understanding unwanted water production Extent of the problem; Causes and effects of water production; Monitoring and evaluation techniques; Diagnostics; Defining required attributes and placement controls; Fitting solutions to problems; Remedial water control Challenges and solutions; Environmental considerations; In-Wellbore control; Near-wellbore techniques; Matrix applications; Fractures and voids; Water control Bringing it all together; Engineered process; Initial screening; Reservoir characterization; Simulation; Case studies

Fundamental concepts of petrophysics; Depositional systems and petrophysical rock parameters; Nature of porosity and permeability; Basic rock properties; theory and quicklook techniques; Mudlogging; Core analysis, acquisition, interpretation, and quality checks; Theory and basics of resistivity, radioactivity, acoustic tools; LWD/MWD versus open hole logging; Determination of rock types using core and logs; Cased hole logging; Petrophysical impact on economic uncertainty; Evolving petrophysical technologies

Overview of Data Management: Definition, History of data management, Trends, Data lifecycle, Importance and value of data management, Information orientation, Benefits of good data management, Business case aspects & barriers; Data Types: Definitions, Data types, Data models in E&P; Common Data Management Issues: Typical data issues (possible pitfalls), Causes of data issues, Data management best practices business impact; Data Management Framework: Data governance, Data architecture, Data security, Reference & master data management, Data quality management; Building and Sustaining the Data Management Framework: What to do, What not to do, Building consensus & engaging with the business

Decision Modeling: application of DA process for modeling; influence diagrams; free cash flow concept; sensitivity analysis; documentation and good modeling practices; real options overview; Monte Carlo Simulation: prospect risking (similar to play analysis); calculating probabilities and distributions with simulation; modeling and optimizing investment portfolios; valuing added control and flexibility; stopping rules; ways to model correlation; Decision Tree Analysis: value of information review; sensitivity analysis; solving with utility for risk aversion; Decision Policy: overview of finance theory related to PV discount rate and risk (CAPM and modern portfolio theory); shareholder value model; portfolio optimization to maximize economic value; efficient frontiers; multi-criteria decisions; risk policy as a utility function; calculating expected utility and certain equivalent; insurance and hedging; optimizing working interests; Implementation: presentation formats; model-centric enterprise model and balanced scorecard (dashboard) element focusing on shareholder value creation forecast

Capillary pressure applications in reservoir characterization; Rock properties from mercury/air capillary pressures; Capillary pressure data representativeness; Capillary forces in reservoir rocks; their measurement; Capillary pressure data fitting methods; Representing a large number of capillary curves (averaging); Permeability from capillary pressure curves and petrography; Saturation-height functions; Surface phenomena, capillarity, wettability, and interphase tension; The competition between capillary and gravity forces; Relationships between initial and residual saturations; Interpretation of single and multiple pore system rocks; Clay-bound water; Capillary pressure vs. NMR; Seal capacity

Production-related near wellbore damage Scale; Paraffin; Asphaltenes; Corrosion; Erosion; Well diagnostics; Removal techniques; Prevention techniques; Wellbore stabilization; Understanding unwanted water production Extent of the problem; Causes and effects of water production; Monitoring and evaluation techniques; Diagnostics; Defining required attributes and placement controls; Fitting solutions to problems; Remedial water control Challenges and solutions; Environmental considerations; In-Wellbore control; Near-wellbore techniques; Matrix applications; Fractures and voids; Water control Bringing it all together; Engineered process; Initial screening; Reservoir characterization; Simulation; Case studies

Fundamental concepts of petrophysics; Depositional systems and petrophysical rock parameters; Nature of porosity and permeability; Basic rock properties; theory and quicklook techniques; Mudlogging; Core analysis, acquisition, interpretation, and quality checks; Theory and basics of resistivity, radioactivity, acoustic tools; LWD/MWD versus open hole logging; Determination of rock types using core and logs; Cased hole logging; Petrophysical impact on economic uncertainty; Evolving petrophysical technologies

Overview of Data Management: Definition, History of data management, Trends, Data lifecycle, Importance and value of data management, Information orientation, Benefits of good data management, Business case aspects & barriers; Data Types: Definitions, Data types, Data models in E&P; Common Data Management Issues: Typical data issues (possible pitfalls), Causes of data issues, Data management best practices business impact; Data Management Framework: Data governance, Data architecture, Data security, Reference & master data management, Data quality management; Building and Sustaining the Data Management Framework: What to do, What not to do, Building consensus & engaging with the business

Decision Modeling: application of DA process for modeling; influence diagrams; free cash flow concept; sensitivity analysis; documentation and good modeling practices; real options overview; Monte Carlo Simulation: prospect risking (similar to play analysis); calculating probabilities and distributions with simulation; modeling and optimizing investment portfolios; valuing added control and flexibility; stopping rules; ways to model correlation; Decision Tree Analysis: value of information review; sensitivity analysis; solving with utility for risk aversion; Decision Policy: overview of finance theory related to PV discount rate and risk (CAPM and modern portfolio theory); shareholder value model; portfolio optimization to maximize economic value; efficient frontiers; multi-criteria decisions; risk policy as a utility function; calculating expected utility and certain equivalent; insurance and hedging; optimizing working interests; Implementation: presentation formats; model-centric enterprise model and balanced scorecard (dashboard) element focusing on shareholder value creation forecast

Capillary pressure applications in reservoir characterization; Rock properties from mercury/air capillary pressures; Capillary pressure data representativeness; Capillary forces in reservoir rocks; their measurement; Capillary pressure data fitting methods; Representing a large number of capillary curves (averaging); Permeability from capillary pressure curves and petrography; Saturation-height functions; Surface phenomena, capillarity, wettability, and interphase tension; The competition between capillary and gravity forces; Relationships between initial and residual saturations; Interpretation of single and multiple pore system rocks; Clay-bound water; Capillary pressure vs. NMR; Seal capacity

Production-related near wellbore damage Scale; Paraffin; Asphaltenes; Corrosion; Erosion; Well diagnostics; Removal techniques; Prevention techniques; Wellbore stabilization; Understanding unwanted water production Extent of the problem; Causes and effects of water production; Monitoring and evaluation techniques; Diagnostics; Defining required attributes and placement controls; Fitting solutions to problems; Remedial water control Challenges and solutions; Environmental considerations; In-Wellbore control; Near-wellbore techniques; Matrix applications; Fractures and voids; Water control Bringing it all together; Engineered process; Initial screening; Reservoir characterization; Simulation; Case studies

Fundamental concepts of petrophysics; Depositional systems and petrophysical rock parameters; Nature of porosity and permeability; Basic rock properties; theory and quicklook techniques; Mudlogging; Core analysis, acquisition, interpretation, and quality checks; Theory and basics of resistivity, radioactivity, acoustic tools; LWD/MWD versus open hole logging; Determination of rock types using core and logs; Cased hole logging; Petrophysical impact on economic uncertainty; Evolving petrophysical technologies

Overview of Data Management: Definition, History of data management, Trends, Data lifecycle, Importance and value of data management, Information orientation, Benefits of good data management, Business case aspects & barriers; Data Types: Definitions, Data types, Data models in E&P; Common Data Management Issues: Typical data issues (possible pitfalls), Causes of data issues, Data management best practices business impact; Data Management Framework: Data governance, Data architecture, Data security, Reference & master data management, Data quality management; Building and Sustaining the Data Management Framework: What to do, What not to do, Building consensus & engaging with the business

Additional information