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- 1. Static Model Development
- 2. Static model development |Section 1Section 2 .Section 3Section 4Section 5
- 3. Static model development |Section 1 Introduction to static reservoir modelingSection 2 For decision making and improving the estimation of reserves; a computer model of a reservoir is constructedSection 3 which we call as “The Reservoir Model”.Section 4Section 5
- 4. Building the model Real Model Computer Model ……How ?? CLICK HERE FOR MORE INFO
- 5. So this is how itmay be done…!!?
- 6. Introduction to static reservoir modeling Geocellular modeling It is a way to describe the subsurface in 3D space (mathematically), which is constrained by a structural and stratigraphic framework. In a layman’s language, it is the process of generating the model/prototype of the subsurface. This model will resemble the real reservoir model. The physical properties of the reservoir are stored at the grid points or at the centers of gravity (3D voxels). So the first thing is to define the GRID
- 7. Introduction to static reservoir modeling Grid The simulation grid is the definition of how we divide, or discretize, space in order to solve the differential equations numerically. Common grid co-ordinate system includes Cartesian Cylindrical Corner Point Curvilinear
- 8. Grid Simulation |Selection of proper GRIDIt is necessary that the grid that is defined should have desired level of accuracy inthe solution of the flow equations; properly represents the reservoir geology;locations of wells, boundaries, faults, etc. and has the lowest computer memoryand time requirements to solve the problem.Common rules of constructing GRID In case of cylindrical grid system, the grid spacing is at logarithmic scaledifference. The grid spacing should be such that the adjacent block size should notincrease by the factor more that 3. Even the pressure drop between the blocks should not decrease by 30-20 %. Reservoir flow units should be separated by grid block boundaries. Vertical discretization should be fine enough for accurate accounting of gaspercolation and migration and/or gravity over-ride or under-ride
- 9. Grid Simulation | using CMG simulator (version 2007.1) GRID type (Cartesian, corner or cylindrical) # of grid blocks in x, y and z direction respectivelyHere, 10 is width of the block and 3 is the # of blocks in each direction
- 10. Grid Simulation | using CMG simulator (version 2007.1) Date @ which simulation starts A block withwidth 10m each in x, y & z direction
- 11. Static model development |Section 1Section 2 .Section 3Section 4Section 5
- 12. Static model development |Section 1 Structural modelingSection 2 .Section 3Section 4Section 5
- 13. Structural Modeling |Using Petrel 2009 Seismic Simulator Identifying structural top Structural top identification means recognizing the geometric structure of hydrocarbon trap. The workflow(in petrel) for the same would be : Load SEG-Y format data. Interpret it manually. Full range of tools allows us to take a traditional line-by-line approach combined with the latest algorithms and tools including amplitude & waveform based tracking for best interpretation, allowing us to achieve rapid results
- 14. Structural Modeling |Using Petrel 2009 Seismic Simulator Interpreting set of faults Since the presence of fault/set of faults directly makes a huge difference to the field development plan and production characteristics…we need to carefully investigate it’s presence. Fault can be interpreted in the same way (as we seen the workflow in case of structural top). But consider only Sealing faults !!! BUT STILL … THERE CAN BE NUMEROUS FAULTS SO, MANUAL INTERPRETATION BECOMES TEDIOUS !
- 15. Structural Modeling |Using Petrel 2009 Seismic Simulator So many faults Can we do it automatically ???..
- 16. Structural Modeling |Using Petrel 2009 Seismic SimulatorThe Petrel Automated Structural All u need is ANTInterpretation module uses an TRACKING moduleadvanced computing algorithm "AntTracking" to overcome the tedious task.Benefits : Increases structural accuracy and detail & thus provides unbiased, repeatable & highly detailed mapping of discontinuities. Significantly reduces tedious manual interpretation time.
- 17. Structural Modeling |Using Petrel 2009 Seismic Simulator The Ant Tracking workflow consists of four independent steps: Enhance the spatial discontinuities in your seismic data using any edge detection algorithm (i.e. variance, chaos, edge Step 1 detection) and optionally, pre-condition your seismic data by reducing noise. Generate the Ant Track Cube and extract the fault patches. Step 2 Validate and edit the fault patches. Step 3 Create final fault interpretation model. Step 4
- 18. Static model development |Section 1 Stratigraphic modelingSection 2 .Section 3Section 4Section 5
- 19. Stratigraphic Modeling |Analytical approach Analytically the best technique to establish the correlation between thegeological units is by using the sequence stratigraphic method. As per this technique the deposition of sedimentary bodies is governed by thecombined effects of changes in sea-level, sedimentation, subsidence and tectonics. On this basis, we can identify sequences of different hierarchical order within a geological unit that are separated bysequence boundaries which representUnconformities or maximum floodingsurfaces.
- 20. Stratigraphic Modeling |Analytical approach Biostratigraphy Production data (density, GOR etc.)
- 21. Stratigraphic Modeling |Analytical approach Drilling Data Formation & Pore (ROP) pressure
- 22. Stratigraphic Modeling |Petrel v2009 Simulator In Petrel we can display and organize your logs in a flexible 2D visualization environment.
- 23. Stratigraphic Modeling |Petrel v2009 Simulator A flexible 2D canvas allows simultaneous display of logs, seismic, 3D grid, and simulation results.
- 24. Stratigraphic Modeling | Petrel v2009 Simulator The workflow for correlation can be given as follows : [1] Import well log las-file data : By importing well trajectories, well deviations and logs(las file) you can pick/select any horizon top and analysis it. [2] Create cross sections : Under “window” option select “new well section window”. Then you can select the #of wells (to display their cross section) Then after you can carry out other secondary operations (colorfill, thickness etc.)
- 25. Stratigraphic Modeling | Petrel v2009 Simulator[3] Revise formation top picks &compare: Pick horizon tops in the well panel andsee the effects directly in 3D, or viceversa.Now you can compare the requiredsection of the well log to other sectionsby using “ghost curve” option in the righthand side bar of petrel.Using ghost curve you can clip out a smallsection of your seismic and drag it over toother parts to correlate acrossfaults.(refer to next slide)
- 26. Stratigraphic Modeling | Petrel v2009 SimulatorNow after selecting the portion, you candrag it to the other portion of the log tofigure out the similarity between them.(see the yellow curves in box)This operation is called ghosting.[4] Evaluate real-time updated picks in2D and 3D interpretation windows :You can view the real time updated picksby turning ON (simply click on it) the wellsection fence.
- 27. Static model development |Section 1 Lithological modelingSection 2 .Section 3Section 4Section 5
- 28. Lithological Modeling | As a rule, facies Modeling can be performed using appropriate deterministic orstochastic functions which allow us to generate 2 or 3 dimensional spatialdistributions of significant characteristics, such as porosity and permeability, directlyfrom well data. The idea behind this procedure is that the petrophysical characteristics of thereservoir can be considered intimately linked to the lithological facies. In practical terms, the lithological model of a reservoir is constructed byintegrating an ideal representation of the reservoir (sedimentological model), aclassification stage (definition of facies) and a spatial distribution stage (three-dimensional model).
- 29. Lithological Modeling |. Classification of facies Sedimentological Model 3D distribution of facies Lithological Modeling
- 30. Lithological Modeling |. Example of a stochastic model of facies
- 31. Static model development |Section 1 Petrophysical modelingSection 2 .Section 3Section 4Section 5
- 32. Petrophysical Modeling |using Petrel v2004.The values between the cells are interpolated by various techniques. Two • Select the Moving average as the of the important techniques are: . Method; leave all other settings as • Deterministic Model default. • Stochastic Model • Click on OK; display the model in 3D window and it would appear like : Deterministic ModelIt uses moving average method, based oninverse distance weighting.• Open the petrophysical process optionfrom the menu.(this will open a dialogbox)• From the dialog box, select Use ExistingProperty and select the Porosity propertyas the property to be modeled from thedrop down menu.
- 33. Petrophysical Modeling |using Petrel v2004. Stochastic Model . Stochastic method : userThis method uses Sequential Gaussian defined variogram and range.Simulation method. To create stochasticModeling follow the given steps:• Open the Petrophysical Modelingprocess. Go to the Use Existingproperty and select Porosity from thedrop-down list.• Activate the required zone by clickingon the zone tab.• Select Sequential Gaussian Simulationas the method to use.• In variogram tab, select the Variogramtype. In it select the MajorRange, Minor Range, Vertical Range andAzimuth. Then after click on OK andcreate the property model.
- 34. References |Journal article, organization as author :ESSCA Group, LESSCA, la Grande Ecole directement Petrel 2009 Seismic to Simulation Software,2009.Petrel-A Schlumberger product group, Release notes; Petrel™ Workflow Tools 2004, November2004. .Encyclopaedia on the Internet : Portale Treccani. Lenciclopedia Italiana; Oil Field Characteristics and Relevant Studies [Internet], Italy Inc.; 2008, Available from : http://www.treccani.it/enciclopedia/oil-field-characteristics-and-relevant-studies_(altro)/Part of an Internet website :West Virginia University, Department of Geology and Geography [Homepage on Internet], WestVirginia : The University; c2008, Available from : http://www.geo.wvu.edu/~wilson/casi/

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