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Pr oper ty Model ing
Property Modeling Prope rty mo deli Proper deling ng processes processes are used for filling the cells of the grid with discrete (facies) or continuous (petrophysical) properties. Petrel assum Petrel assumes es that that the the layer lay er geometr geometry y giv given en to to the grid grid follo follows ws the geologi geol ogica call lay layer ering ing in the model area. Thus, are these processes dependant on the geometry of the existing grid. When interpolating between data points, Petrel will propagate property values along the grid layers. Properrty mo deli Prope deling ng i in n Petr Petrel is spli splitt into into separ sepa rate proc processes: esses: Geometrical modeling modeling - No interpolation of input data is required. Properties are built based on the geometrical properties of the grid cells themselves, such as a cell volume, angle, height, etc. Some algorithms also require input data, but this data is simply sampled into the grid (e.g. seismic). Facies modeling modeling - Interpolation or simulation of discrete data, for example, facies. Petrophysical modeling modeling - Interpolation or simulation of continuous data, for example, porosity, permeability, and saturation. In addition there are other process steps which can be used when modeling properties: Scale up well logs logs - The process of sampling values from well logs or well log attributes into the grid, ready for use as input to Facies modeling an modeling and d Petrophysical modeling. modeling. Data Dat a analy analysi sis s - The process of preparing the input data (normally upscaled well logs) for property modeling. It involves applying transformations on input data, identifying trends for continuous data , vertical proportion, and probability for discrete data . It also involves defining variograms that describe the input for both cases. This is then used in the facies and petrophysical modeling to ensure that the same trends appear in the result. Geometrical trend modeling modeling - The The Geom G eometr etric ical al trend mod modeli eling ng proc process ess all a llow ows s creating a variety of geometrical properties from polylines. These properties can be used to cont co ntrrol the spatial d istr istribut ibutio ion n of facies facie s and petr petrophysic ophysic al pr propert operties. ies. Tre Tr e nd modeling mo deling - This process allows you to create discrete or continuous trend mod odels. els. Disc Di scrrete tr trends consist c onsist of vertic vertical al pr proport oportio ion n volum vol umes es cr c reated by a bloc bl ock k kriging of the probabilities of each of the facies. Continuous trends are produced by a weighted linear combination of secondary input trends (1D, 2D or 3D trends). User-defined object creation creation - The process enables you to model objects that are not limited in shape and can have an arbitrary 3D geometry defined by the user. Training image and pattern creation creation - A training image is an idealized and simplified representation of the reservoir geology. The information contained in the training image is reorganized into conditional distribution information that is accessible by the simulation algorithm. The conditional distributions are stored in the form of a tree called a Multi-point facies pattern. A pattern means investigating the neighborhood relationship between the facies and writing it into a tree. Fault analysis analysis - The process where you can generate fault transmissibility multipliers, either directly or by modeling fault properties, providing grid file ile:///C:/ C:/Progra rogram m%20File Files s/Schlum lumberger/ rger/P Petrel% rel%2 202013/Dox Dox/Help HelpCe Cen nter/p r/prop roperty rty/prop roperty rtymodelin ling.h g.html
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Property Modeling
permeabilities, and calculating the multiplier. These are then used as input to the simulation or simply as a visual assessment of the sealing potential of faults. Train estimation model - This process gives you access to tools for Neural Network analysis, enabling you to create a classification or estimation model object. Sub topics: General information on Property modeling The objective of property modeling is to distribute properties between the available wells so as to realistically preserve the reservoir heterogeneity and match the well data. The Data analysis process helps to QC and interpret the data, to identify key geological features, and to prepare the input for Facies and Petrophysical modeling. Geometrical Modeling Geometrical modeling is the process where properties can be generated by using pre-defined system variables, such as cell volume, seismic resampling, zone index, etc. Each cell will get a numerical value corresponding to the selected system variable. Scale up well logs When modeling different properties, the modeled area is divided up by generating a 3D grid. Each grid cell has a single value for each property. As the grid cells often are much larger than the sample density for well logs, well log data must be scaled up before it can be entered into the grid. Data analysis Data analysis is the processus of exploring and quality controlling the data. It results in the preparation of primary and secondary inputs used for discrete and continuous property modeling, in processes such as Facies modeling and Petrophysical modeling. Geometrical trend modeling The Geometrical trend modeling process allows creating a v ariety of geometrical properties from polylines. These properties can be used to control the spatial distribution of facies and petrophysical properties. Trend Modeling Trend modeling enables you to go beyond the conventional map/vertical function trend approach and to build 3D trend models based on multiple inputs. User-defined object creation User-defined object modeling lets you model objects that are not limited in shape to a predetermined set of choices (such as "box", "ellipsoid", "cylinder", etc.), but can have an arbitrary geometry defined in three dimensions (channels, bars, splays, reefs, concretions, etc.). Training image and pattern creation file:///C:/Program%20Files/Schlumberger/Petrel%202013/Dox/HelpCenter/property/propertymodeling.html
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Property Modeling
The basic input for the Multi-point facies simulation algorithm is the Training image (TI) and the Multi-point facies pattern. There are various methods you can use to make training images, such as object modeling or hand drawn models. The creation and the use of training images have been combined with the pattern creation into a process called Training image and pattern creation. Modeling input parameters editor The modeling input parameters editor (MIP) enables the user to edit, QC, re-use, compare and output the parameters used in Facies modeling in a single unified view. The modeling input parameters can be accessed by right-clicking on a property in the tree or in the 2D/3D window or through a shortcut button at the top of the Facies Modeling process dialog. Facies modeling Facies modeling is a means of distributing discrete data (e.g. facies) throughout the 3D model. In Petrel, stochastic and deterministic (estimation or interpolation) methods are available for modeling the distribution of discrete properties in a reservoir. Petrophysical Modeling Petrophysical modeling is the interpolation or simulation of continuous data (for example, porosity or permeability) throughout the model grid. In Petrel Deterministic (estimation or interpolation) and Stochastic methods are available for modeling the distribution of continuous properties in a reservoir model. Fault analysis Fault analysis allows you to generate fault transmissibility multipliers, either directly or by modeling fault properties based on grid permeabilities. These are then used as input to the simulation or simply as a visual assessment of the sealing potential of faults.
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