Patent application number | Description | Published |
20090262603 | Method for characterizing a geological formation traversed by a borehole - Methods for characterizing a geological formation, the methods include retrieving measured data provided by a measuring tool along one or more logged borehole length for a borehole, another borehole or both in order to produce a borehole imaging log. Selecting depth-defined intervals of the borehole imaging log as training images for inputting in a multi-point geostatistical model. Determining pattern based simulations for each training image using a pixel-based template of the multi-point geostatistical model so as to obtain training image patterns. Using the pattern based simulation of each training image to assign to each of the training image a corresponding training image pattern. Constructing from the training image patterns one or more fullbore image log of a borehole wall of the borehole. Repeat the second to fourth steps through the one or more logged borehole length in order to construct fullbore images from successive, adjacent training images. | 10-22-2009 |
20110004447 | Method to build 3D digital models of porous media using transmitted laser scanning confocal mircoscopy and multi-point statistics - Methods for characterizing a three-dimensional (3D) sample of porous media using at least one measuring tool that retrieves two or more set of transmitted measured data at two or more depths of the sample, such that the retrieved two or more set of transmitted measured data is communicated to a processor and computed in at least one multi-point statistical (MPS) model. | 01-06-2011 |
20110004448 | Method to quantify discrete pore shapes, volumes, and surface areas using confocal profilometry - Methods for characterizing a sample of porous media using a measuring device along with a multipoint statistical (MPS) model. Retrieving a set of reflected measured data provided by the measuring device of a surface of the sample in order to produce a sample imaging log, wherein the retrieved set of measured data is communicated to a processor. Selecting depth-defined surface portions of the sample from the sample imaging log as a training image for inputting in the MPS model. Determining pattern based simulations from the training image using one of a pixel-based template which is applied to the training image. Constructing from the pattern based simulations a complete-sampling image log of surface portions of the sample. Repeat the above steps in order to construct three dimensional (3D) sample images from stacked successive pattern based simulations so as to construct at least one 3D model of the sample. | 01-06-2011 |
20110231164 | GENERATING FACIES PROBABLITY CUBES - A method for generating one or more geological models for oil field exploration. The method includes receiving one or more well facies logs, a vertical facies proportion curve, a lateral proportion map, a variogram model and a global target histogram. The method then includes generating a facies probability cube using a modified Sequential Gaussian Simulation (SGSIM) algorithm, the well facies logs, the vertical facies proportion curve, the lateral proportion map and the variogram model. After generating the facies probability cube, the method includes matching the facies probability cube to the global histogram and generating the geological models based on the matched facies probability cube. | 09-22-2011 |
20120221306 | MULTISCALE DIGITAL ROCK MODELING FOR RESERVOIR SIMULATION - Methods for upscaling digital rock modeling data are described. Core-plug samples for pore-scale modeling are strategically chosen using whole-core minipermeability grids and conventional CT (Computed Tomography) scans. Pore models or pore-network models are used for flow modeling. Computed numerical SCAL (Special Core AnaLysis) properties are validated using laboratory-derived data, then they are used to populate borehole-scale models. Borehole-scale models use MPS (Multi-Point Statistics) to combine minipermeability grids and conventional CTscans of whole core with electrical borehole images to create 3D numerical pseudocores for each RRT (Reservoir Rock Type). SCAL properties determined from pore-scale models are distributed for each petrophysical facies in numerical pseudocores. Effective SCAL properties computed from various MPS borehole-scale realizations or models are used to populate interwell-scale models for each RRT. At the interwell scale, seismic attributes and variogram statistics from LWD (logging while drilling) data are used to populate digital rock models. Effective properties computed from flow simulations for interwell volumes are used to populate full-field scale models. At the full-field scale, outcrop analogs, sequence stratigraphy, forward stratigraphic models, diagenetic models, and basin-scale models are combined using MPS to improve flow simulations. At every stage, REVs (representative element volumes) are computed to be certain rock heterogeneities have been captured. | 08-30-2012 |
20120277996 | METHOD TO DETERMINE REPRESENTATIVE ELEMENT AREAS AND VOLUMES IN POROUS MEDIA - The subject disclosure relates to methods for determining representative element areas and volumes in porous media. Representative element area (REA) is the smallest area that can be modeled to yield consistent results, within acceptable limits of variance of the modeled property. Porosity and permeability are examples of such properties. In 3D, the appropriate term is representative element volume (REV). REV is the smallest volume of a porous media that is representative of the measured parameter. | 11-01-2012 |
20120281883 | METHODS TO BUILD 3D DIGITAL MODELS OF POROUS MEDIA USING A COMBINATION OF HIGH- AND LOW-RESOLUTION DATA AND MULTI-POINT STATISTICS - This subject disclosure describes methods to build and/or enhance 3D digital models of porous media by combining high- and low-resolution data to capture large and small pores in single models. High-resolution data includes laser scanning fluorescence microscopy (LSFM), nano computed tomography (CT) scans, and focused ion beam-scanning electron microscopy (FIB-SEM). Low-resolution data includes conventional CT scans, micro computed tomography scans, and synchrotron computed tomography scans. | 11-08-2012 |
20130338978 | GENERATING FACIES PROBABLITY CUBES - A method for generating one or more geological models for oil field exploration. The method includes receiving one or more well facies logs, a vertical facies proportion curve, a lateral proportion map, a variogram model and a global target histogram. The method then includes generating a facies probability cube using a modified Sequential Gaussian Simulation (SGSIM) algorithm, the well facies logs, the vertical facies proportion curve, the lateral proportion map and the variogram model. After generating the facies probability cube, the method includes matching the facies probability cube to the global histogram and generating the geological models based on the matched facies probability cube. | 12-19-2013 |