• June 1, 2020 - June 5, 2020
    8:00 am - 5:00 pm

http://riohanggliding.com/index.php?option=com_twojtoolbox click Course Length:  5 Days    go to site Course Dates:   June 1 – 5, 2020     go Course Venue: Houston, Texas, USA

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http://starasphalt.co.uk/wp-cron.php?doing_wp_cron=1573958859.3715169429779052734375 This course provides detailed discussions and hands-on training for understanding the Integrated Reservoir Management process, workflows, process, and sub-processes normally used to optimize production, and maximize recovery factor from oil and gas fields. The training course will provide fundamental and advanced knowledge of the Integrated Reservoir Management (IRM) process which include reservoir surveillance, data acquisition plan, improved and enhanced oil recovery processes, opportunity identification, and methodology to go from lab experiments to full field implementation and optimization.  The benefits of implementing IRM will be also extensively explain trough case studies, conferences, and SPE papers. Participants will learn how conduct IRM projects to achieve production goals and maximize recovery factors under different scenarios. Novel workflows, diagrams, framework for thoroughly evaluating, analyzing and optimizing reservoir to achieve production/injection targets will also be presented. The capability maturity model to define the status of IRM project also will be addresses. Participants will also gain the knowledge and skills to identify the best IOR/EOR process to be implemented in the reservoir to maximize recovery factor, improve sweep efficiency, minimize water breakthrough, and improve economic. A clear road map from lab studies to full field implementation will be presented to improve reserve extraction plan by using multi scenario evaluation approach. The course will be supplemented by practical class project example problems, group exercises and interactive group discussion designed to consolidate and reinforce learning, and identify and offer solutions to specific problems associated with integrated reservoir management of oil and gas fields.

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go site http://lowestoftelectricalgroup.co.uk/tag/power-supplies-and-control-wiring-for-bird-feeding-drinkers-system/ Who Should Attend?

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source This course is designed for reservoir, geologist, and project engineers; assets managers; reservoir managers; project managers from oil and gas government regulatory authorities; joint venture oil and gas operators; joint venture non-operators, and others

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  • Understanding the benefits of the Integrated Reservoir Management (IRM).
  • Understanding the IRM road map
  • Recognizing the use and application of the capability maturity model to measure the current state of the IRM process.
  • Learning how IOR and EOR processes can be properly articulated with IRM to maximize oil recovery
  • Understanding the benefits of Digital Oil Fields over the IRM process and decision making.
  • Understand the objective of a Field Integrated Laboratory Evaluation and Sector Review projects
  • Defining key performance indicators for reservoir management
  • How digital oil field technology support IRM strategies
  • Importance of reservoir simulation models for production and injection forecast
  • Understanding the impact of risk and uncertainty analysis over IRM strategies and decision-making process. Understand what is importance of smart wells and completions on effective IRM
  • Understanding the value of data and information in the decision-making process
  • Using case studies, group exercises and interactive group discussion to identify and offer solutions to specific problems associated with integrated reservoir management.

http://tripmag.co.uk/wp-content/uploads/2015/04/5.jpg source site Course Content: 

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  • Definition of IRM
  • History of IRM, Process evolution
  • IRM Goals, IRM Strategic Intent
  • IRM expected Benefits
  • IRM Framework, Processes, input data, output data, organizations.
  • IRM deliverables, use of Integrated Asset Models for different management functions
  • IRM Blocks. Data acquisition, Data QA/QC, Integration and visualization, opportunity generation, execution and monitoring
  • Main IRM workflows, processes and tools
  • Importance of IRM Governance
  • Change management
  • IRM People values, roles and responsibilities
  • IRM Key Performance Indicators (KPIs)
  • Capability Maturity Model for IRMM Processes and Workflows
  • Integrated Asset Modeling (IAM) and IRM relationship
  • Importance of IRM road map
  • Case study discussion

http://blu-bistro.co.uk/wp-cron.php?doing_wp_cron=1573850339.9803879261016845703125 http://tripmag.co.uk/trip_dankendall_06/ Reservoir Surveillance     

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  • Introduction to reservoir surveillance
    • Importance of reservoir surveillance
    • Goals of reservoir surveillance
    • Data acquisition plan. Data acquisition justification, amount and frequency of data, type of data. Data acquisition, validation and reconciliation
    • Workflow of asset strategy with work processes
    • Value of Information
    • Sample Questionnaire to Judge Quality of Information
    • Fundamentals of Value of Information (VOI)
    • Perfect and Imperfect Information
  • Reservoir monitoring
    • Pressure, flow rates trend analysis
    • Voidage replacement factor. Calculations, interpretation and scenario analysis.
    • Sweep efficiency. Vertical, lateral, displacement, and volumetric seep efficiency, recovery factor.
    • Viscous fingering
    • Tracers
    • Monitoring of chemistry of production water, stiff diagrams interpretation
    • Hall plots (evaluation of injector wells performance)
    • Water and gas coning
    • Monitoring through Seismic
    • Magnetotellurics methods
  • Well Monitoring
    • Cement Integrity
    • Fluid sampling (oil, water, and gas)
    • BHP, PLT, measurements
    • Hydraulic fracture productivity life
    • Thief zones and channels identification
    • Skin factor. Skin factor with time,
  • Transient tests, Build-up, Draw-down, interference test
    • Principle of Well testing
    • Well test types
    • Fundamental models
    • Flow regime analysis
    • Pressure buildup testing
    • Formation damage identification
    • Well Testing Applications for reservoir surveillance. Examples and class exercises.

http://lowestoftelectricalgroup.co.uk/tag/access-system/ http://ashfieldguesthouse.co.uk/wp-cron.php?doing_wp_cron=1573907524.1095321178436279296875   get link Reservoir simulation, Opportunity Identification and Scenario Evaluations  

  • Identification of opportunities based on well and reservoir performance monitoring
  • Base case definition. Definition of normal production decline curve
  • Additional or incremental oil rate definition. Well jobs / workover justification
  • Reservoir simulation
  • Risk Analysis
  • Opportunity and Scenario ranking. Economic evaluation of scenarios (well scale and reservoir scale), efficiency frontier method for scenario reanking.
  • Production optimization. What is production optimization? variable to maximize or minimize, decision variables, optimization exercises.
  • What Is Optimization Under Uncertainty? uncertainty definition, Uncertainties vs. Risk, uncertainty analysis, Descriptive and Inferential Statistics, Probability Distributions, type of probability distribution, estimation of mean, variance, standard deviation, kurtosis, skewness, percentiles.
  • Monte Carlo simulation. Basis for Monte Carlo simulation, uses, examples in Oil and Gas projects
  • Case studies discussions

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  • IOR and EOR definition
  • Why to consider IOR/EOR process to efficiency reservoir management
  • Screening of IOR/EOR methods
  • Overview or EOR processes, SPE definition (miscible, immiscible, chemical, and thermal processes)
  • Injection Patterns, mobility ratio and sweep efficiencies.
  • Average recovery factor of IOR/EOR processes
  • EOR road map. From lab design to full field applications
  • Integrated laboratory evaluation
    • What is an integrated laboratory evaluation?
    • Objective of a IOR/EOR pilot project?
    • Variable to be monitored, logs, tracers
    • Lab results versus pilot results analysis
    • Reservoir heterogeneity estimation. Dykstra Parsons Coefficient, Lorentz Coefficient.
    • Reservoir heterogeneity and recovery factor relationship
    • Criteria for full field expansion
  • Sector Review
    • Geological model review, facies modeling, facies continuity
    • Reservoir compartmentalization studies, geological and seismic cross-section review
    • Well types, completion types
    • Sweep efficiency calculations, action to improve sweep efficiency.
    • Voidage replacement factor estimation, analysis and action plan
    • Bubble map analysis, diagnostic plots
    • Hall plot generation and analysis
    • Saturation measurements
    • Production / Injection performance dashboards

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  • Depletion capacity map
  • Integration of existing past records (seismic, well log, core data and geologic conceptualization) to constrain reservoir description, including structure and spatial rock property distribution models
  • Initial model construction using seismic and geologic data mining to extract information from old records in mature fields
  • Dynamic field connectivity characterization using historical production data, novel connectivity-based parameterization techniques and field-scale exploratory
  • Updating connectivity model using new monitoring data
  • Uncertainty assessment through generation of multiple models through integration of measurement and uncertainty models to generate multiple plausible geologic scenarios
  • Automated injection-production production optimization workflows to maximize production and minimize bypassed oil
  • In-fill and well-placement optimization
  • Streamline-based simulation, history matching and production optimization under primary depletion conditions
  • Streamline-based simulation, history matching and production optimization under secondary recovery processes