Abstract:
Systems and methods for modeling petroleum reservoir properties using a gridless reservoir simulation model are provided. Data relating to geological properties of a reservoir formation is analyzed. A tiered hierarchy of geological elements within the reservoir formation is generated at different geological scales, based on the analysis. The geological elements at each of the different geological scales in the tiered hierarchy are categorized. Spatial boundaries between the categorized geological elements are defined for each of the geological scales in the tiered hierarchy. A scalable and updateable gridless model of the reservoir formation is generated, based on the spatial boundaries defined for at least one of the geological scales in the tiered hierarchy.
Abstract:
A method for creating a seamless scalable geological model may comprise identifying one or more geological scales, establishing a geological tied system, identifying one or more graphical resolution levels for each of the one or more geological scales, constructing the seamless scalable geological model, and producing a post-process model. A system for creating a seamless scalable geological model may comprise an information handling system, which may comprise a random access memory, a graphics module, a main memory, a secondary memory, and one or more processors configured to run a seamless scalable geological model software.
Abstract:
The selection of a candidate formation realization(s) from a plurality of formation realizations may be done with a classification and regression tree (CART) analysis taking into account petrophysical and geological properties. For example, a method may include applying a CART analysis to a plurality of formation realizations using a first formation property as a predictor in the CART analysis, wherein the plurality of formation realizations are for a second formation property and are based on at least one measured formation property, thereby yielding an association between the first and second properties for each of the plurality of formation realizations; analyzing a strength of the association for each of the plurality of formation realizations; and selecting a candidate formation realization from the plurality of formation realizations based on the strength of the association. The identified candidate formation realization(s) may then be used to develop the parameters of subsequent wellbore operations.
Abstract:
Fracture networks are simulated using a large triangle mesh size for large fractures and a smaller triangle mesh size for small fractures. Input data defining parameters of one or more fractures are input, the fractures being comprised of a triangle mesh. A first triangle mesh size for the fractures is determined based upon the input data. A second smaller triangle mesh size is then determined based upon the input data. The fracture network is then simulated using the large and small triangle mesh sizes.
Abstract:
Fracture networks are simulated using a large triangle mesh size for large fractures and a smaller triangle mesh size for small fractures. Input data defining parameters of one or more fractures are input, the fractures being comprised of a triangle mesh. A first triangle mesh size for the fractures is determined based upon the input data. A second smaller triangle mesh size is then determined based upon the input data. The fracture network is then simulated using the large and small triangle mesh sizes.
Abstract:
A consecutive set of data points, P1, P2, P3, and P4, is selected. A first line is created through P1 and P3. A first tangent vector originating at P2, parallel to the first line, is created. A second line through P2 and P4 is created. A second tangent vector through P3 is created. The second tangent vector is parallel to the second line. A baseline through P2 and P3 is created. A Bezier curve between P2 and P3 is created, wherein the Bezier curve has a degree. The degree of the Bezier curve is determined based on a comparison of the first tangent vector, the second tangent vector, and the baseline.
Abstract:
Systems and methods for basin to reservoir modeling to identify any hi-grade drilling targets based on the linking of static and dynamic reservoir rock and fluid properties. Static, present-day, reservoir and field scale description grids or unstructured meshes are transformed into dynamic (through time) simulation grids or unstructured meshes that can subsequently be used for input to dynamic calculators. Basin modeling may be performed at the reservoir scale, providing a link between present-day and the historical process that acted on the rocks and fluids.
Abstract:
A system and method utilizing a modified Euler Characteristic to numerically quantify and rank connectivity of a geobody within a reservoir model based upon a range of petrophysical properties.
Abstract:
A data mining and analysis system which analyzes a database of wellbore-related data in order to determine those predictor variables which influence or predict well performance.