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Static Model Class

 

Monday

Tuesday

Wednesday

Thursday

Friday

Morning session

Introduction and Overview

Core, Pressure and Petrophysical Data Prep and Analysis


 ✍ – exercises (3,4)

Preparing Horizon & Fault Data



 ✍ – exercise (7,8)

Building the Stratigraphic Framework & Geocellular Gridding
 ✍ - exercise (10)

Petrophysical Modeling



 ✍ – exercise (12)

Afternoon session

Well Data Prep & QC

Using Cores


 ✍ - exercises (1,2)

Contact Analysis and Flow Unit Definition


 ✍ – exercises (5,6)

Preparing the Structural Framework


 ✍ – exercise (9)

Facies Modeling




 ✍ – exercise (11)

Ranking and Selecting Realizations


 ✍ – exercise (13)


Introduction – Static Modeling Course

Introduction of presenter(s)

The main concepts to be covered in this chapter are:
☞ Static Modeling Course Objectives
☞ Model Building Workflow
☞ Reservoir Modeling and Reservoir Management Plans
       ▷ Field Life Cycle
       ▷ Reservoir Depletion Plans
       ▷ Role of Integration
☞ 10 Golden Rules for Flow Modeling
☞ Use and Misuse of Reservoir Modeling
☞ Cost of Building Reservoir Models
☞ Benefits of Integrated Model Studies
✍ Checklist Exercise
Study field background

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Well Data and Core

☞ Types of Well Data and How They are Utilized
☞ Data Verification and Conditioning
☞ Geological data
       ▷ Data Prep
       ▷ Assimilation/Interpretation
       ▷ Field Analogs
☞ Core Description
       ▷ Inventory of available data
       ▷ Digital or manual description
       ▷ How to capture data
       ▷ Value of core description
       ▷ Objectives/focus
       ▷ QC
            ○ Examples of failed QC (tops, structure, depo environment, wire-line, petro)
       ▷ Observations and documentation
       ▷ Shift to wire-line logs
       ▷ Qualitative data input
       ▷ Importance of scale
✍ Exercise
       ✍ Core description and core photos
       ✍ Core to wire-line data shift

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Core, Pressure and Petrophysical Data

☞ Objective
       ▷ To define an optimized layering scheme
☞ Data Integration
       ▷ Are all the data available and QC'd?
☞ Facies and Core Data
       ▷ Core Data Prep
       ▷ Simplify without loss of heterogeneity
       ▷ Examples of Display and Use
       ✍ Exercise – Teapot dome
            ✍ Plot MDT pressure data
☞ Input Data Required
       ▷ Core Plug Data
            ○ Convert analysis to reservoir pressures
☞ Data Preparation
       ▷ Edit
       ▷ Shift
       ▷ Environmental Corrections
       ▷ Normalization
☞ Calculation Methods
       ▷ Porosity - f
       ▷ Permeability - k
       ▷ Water Saturation - Sw
☞ Analysis, QC, and Data Conditioning
       ▷ Core porosity, permeability and Sw
☞ Facies model considerations
       ▷ Wireline predictability
       ▷ Facies relationship to reservoir quality
       ▷ Vertical and lateral detail
       ▷ Data Revisions
☞ Cut-offs
✍ Exercise - Modify parameters in Archie’s Equation to estimate water saturation (Sw) and chart the sensitivity to input data

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Contact and Flow Unit Definition

☞ Contact Analysis
       ▷ Core Data – Oil Stain
       ▷ Open and cased hole logs
       ▷ RFT/MDT
       ▷ Production history – Test Data
       ✍ Exercise – Teapot dome
            ✍ Pick contact from wire-line cross-section
            ✍ Determine compartments
            ✍ Map influx
☞ Get the Regional Picture
       ▷ How does the big picture impact my model?
☞ Reservoir Layering
       ▷ Lithology or sequence based stratigraphy?
       ▷ How much detail?
       ▷ How should facies impact layering?
       ✍ Exercise – Teapot dome
            ✍ Develop layering scheme based on wire-line/MDT, core, etc.

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Preparing Horizon and Fault Data

☞ Fault Picks in Seismic
       ▷ Procedures
       ▷ Methods
       ▷ Data enhancement
            ○ Coherency
            ○ Spectral Decomposition
            ○ Curvature
       ▷ QC
☞ Fault Picks in Geology
       ▷ Procedures
       ▷ Methods
       ▷ QC
☞ Linking seismic and geological faults
☞ Seismic Horizon Interpretation
       ▷ Methods and areal coverage
☞ AOI
☞ Mapping
       ▷ Grid cell size
☞ External data
       ▷ Dip meter
       ▷ FMI (full-borehole micro imager)
       ▷ UBI (ultrasonic borehole imager)
       ▷ Core
       ▷ DSI (dipole sonic imager)
       ▷ SCAT (statistical curvature analysis technique)
       ▷ Satellite imagery
       ▷ Topographic data
       ▷ Paleontology/Biostratigraphy
✍ Exercise
       ✍ Locate Faults
            ✍ Coordinate all data sets to yield a consistent fault
       ✍ Overpost seismic outline on field using Google Earth
            ✍ Identify Surface Faulting

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Preparing the Structural Framework

☞ Fault model overview
       ▷ Structural interpretation/style timing
       ▷ Reservoir discontinuities
       ▷ Grid layout and orientation
☞ Structural styles overview
☞ Fault framework principles
       ▷ Fit for purpose fault framework
            ○ Develop only one structural model
       ▷ Model contains all identifiable faults that offset the reservoir interval
            ○ Stratigraphic limitations treated as faults for simulation model
       ▷ Faults impacting reservoir intervals and fluid flow identified
       ▷ Contacts honored
            ○ Does the hydrocarbon column seal laterally through a combination of dip/fault/stratigraphic pinchout edges
       ▷ Well fault cuts honored
       ▷ Gridding considerations
☞ Framework construction
       ▷ Working in time and depth domains
       ▷ Workflow
            ○ Import
            ○ Build fault planes and QC
            ○ Feedback loop to structural interpretation
            ○ Intersection and truncations
            ○ Edit tipout polygons
☞ Where things could go wrong
☞ Structural Uncertainty
☞ Import Data to modeling package
       ▷ Seismic (sticks, polygons, centerlines, planes)
       ▷ Well picks
       ▷ QC
☞ Fault Treatment
       ▷ Vertical vs. Inclined (What are the objectives?)
       ▷ Special Consideration for Reverse Faulting
       ▷ Salt/shale diapirs
☞ Fault gridding approach
       ▷ Pillar Approach (Petrel/Old RMS)
       ▷ Fault Plane/Block Approach (New RMS/EarthVision)
       ▷ GOCAD/SKUA
       ▷ Fault Model QC
       ▷ Truncations/intersections/well ties/tip-out polygons/unconformities
✍ Exercise
       ✍ Determine the truncation order of intersecting faults

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Building Stratigraphic Framework and Gridding

☞ Recap of course topics to date
☞ Recap of data for field model
☞ Building Layering into the Static Model
       ▷ Strategy for using mapped horizons and isochores
       ▷ Different scales of Layering
       ▷ Modeler’s controls over layering
       ▷ Feedback of horizon to seismic and geological cross-sections
       ✍ Exercise – using what is known about the reservoir
☞ Geocellular Gridding
       ▷ Elements and definitions of the geocellular grid
       ▷ Geologic vs. Simulation grid-building workflow & strategy
       ▷ Working within a cell budget
       ✍ Exercise – estimating cell size, grid size
       ▷ Methods for handling faults in the geocellular grid
       ▷ Keeping scale in mind

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Facies Modeling

☞ Recap of facies data
☞ Goal(s) of facies modeling
☞ Facies Modeling Workflow
       ▷ Blocking
       ▷ Data analysis
       ▷ Define trends vertical and lateral
       ▷ Variograms
       ▷ Deterministic or simulation
☞ Facies Modeling Options
       ▷ Interpolation
       ▷ Deterministic
       ▷ Object based –
            ○ Geobody shape, dimension, and orientation
            ○ Capture vertical and lateral baffles/barriers
       ▷ Indicator
            ○ Capture baffles
       ▷ Belts or trends
       ▷ Combination
       ▷ Co-simulation, co-located co-simulation
✍ Exercise – propose a facies model at Teapot Dome

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Petrophysical Property Modeling

☞ Recap of course topics to date
☞ Introduction to property modeling
       ▷ Which properties are modeled?
       ▷ Why properties are modeled at geologic scale
       ▷ Why model each facies and interval separately?
       ✍ Exercise – properties with and without a facies bias
☞ Property Modeling Workflow
       ▷ Blocking (upscaling) well logs to geocellular grid
       ▷ Data Analysis of blocked well properties
            ○ Data preparation
            ○ Analyzing trends
            ○ Property correlation
            ○ Transforming blocked well data
            ○ Variograms
☞ Deterministic methods (description, uses)
       ▷ Interpolation
       ▷ Trend modeling
☞ Geostatistical Methods
       ▷ Kriging (prediction)
       ▷ Stochastic Simulation, co-simulation, co-located co-simulation
☞ Modeling Water Saturation
       ▷ Sw (prior to production), Swir (irreducible)
       ▷ Using functions (j-function, user-defined, hard wired)
☞ Scale and history behind geostatistical modeling

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Selecting Realizations and Upscaling

☞ Recap of course topics to date
☞ Ranking realizations
       ▷ Deterministic vs. stochastic modeling
       ▷ Randomness in facies and property arrays
       ▷ Upscaling as necessary evil – CPU runtime constraint
☞ Selecting representative realizations
       ▷ Ranking is a fit-for-purpose operation
       ▷ What is held constant? What is allowed to vary?
       ▷ Ranking criteria
            ○ Volume (net rock volume, pore volume, HCPV, . . )
            ○ Connectivity (connected PV, facies, . . .
            ○ Dynamic (simple streamline breakthrough times)
✍ Exercise – Excel spreadsheet picking the P50
☞ Upscaling Geomodel Properties for Simulation
       ▷ Upscaling Philosophy and Goals
       ▷ Value of the Downscaled Geocellular grid
       ▷ General upscaling workflow
            ○ Wireline Logs-to-Blocked Cells
            ○ Blocked Cells-to-Geocellular Grid
            ○ Geocellular Grid-to-Simulation Grid
       ▷ Methods for upscaling different properties
            ○ Discrete (facies)
            ○ Averaging methods (porosity, k, NTG, Sw)
            ○ Additional method for upscaling permeability (diagonal tensor)
            ○ Horizontal vs. layer-based averaging
       ▷ Upscaling Issues & Problems

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