Abstract: A system for and computer implemented method for analysis of data representative of subsurface properties of a subsurface region. The method includes transforming the data representative of subsurface properties of the subsurface region into transformed data in accordance with a selected criterion. A three dimensional window geometry to be applied to the transformed data is selected, based, at least in part, on expected feature sizes present, data sampling density and a size of the subsurface region. A plurality of values for a three dimensional lacunarity statistic are calculated by applying the selected three dimensional window geometry to randomly selected regions of the subsurface region, and correlating the calculated values to the subsurface properties of the subsurface region.

Abstract: A model of a geologic volume of interest that represents the geological architecture of the geologic volume of interest is generated. The model is generated as a series of geologic events at a string of points in geologic time such that each event is deposited or eroded sequentially. A given geologic event is determined based on the topological and/or geological properties of the geologic volume of interest at the time of the geologic event, environmental conditions present at the time of the geologic event that impact geologic formation, deposition, and/or erosion, and/or other considerations. The given geologic event is further determined to honor, at least somewhat, local conditioning data that has been obtained during direct measurements of the geological parameters (and/or trends therein) within the geologic volume of interest.

Abstract: Wellbore data samples related to a subsurface volume of interest are weighted based on wellbore orientation and/or stratal orientation. Declustering weights are determined that account for differences in sampling density caused by wellbore and/or stratal structure orientation. The declustering weights may be implemented to weight samples of parameters taken within wellbores, and/or to update or adjust other weights determined according to other schemes.

Abstract: A system configured to model geometric architectures of flow events in geological reservoirs. In one embodiment, the system comprises a geological control input, a rules module, and a modeling module. The geological control input is configured to receive a set of environmental conditions that act as geological controls impacting a geometric architecture of a geological reservoir at a point in geologic time. The rules module is configured to apply a set of rules to the set of environmental conditions present at the point in geologic time to determine geometric flow parameters of the geometric architecture, wherein the set of rules comprise one or more empirical rules. The modeling module is configured to model the geometric architecture based on the geometric flow parameters determined for the flow event by the rules module.

Abstract: The geological architecture of a geologic volume of interest is estimated through the generation and/or selection of one or more numerical analog models of the geologic volume of interest that represent characteristics of the geologic volume of interest as a function of position within the geologic volume of interest. The estimation of geological architecture of the geologic volume of interest may be implemented in reservoir exploration and/or development.

Abstract: Wellbore data samples related to a subsurface volume of interest are weighted based on wellbore orientation and/or stratal orientation. Declustering weights are determined that account for differences in sampling density caused by wellbore and/or stratal structure orientation. The declustering weights may be implemented to weight samples of parameters taken within wellbores, and/or to update or adjust other weights determined according to other schemes.

Abstract: Wellbore data samples taken within a subsurface volume of interest are declustered. A weighting-based, interpolating technique is employed in a layer-based, two dimensional manner to separate slices within the subsurface volume of interest. The performance of declustering on a slice-by-slice basis may make the process less costly and/or may reduce certain artifacts or effects associated with subsurface data interpolation.

Abstract: A system for and computer implemented method for analysis of data representative of subsurface properties of a subsurface region. The method includes transforming the data representative of subsurface properties of the subsurface region into transformed data in accordance with a selected criterion. A three dimensional window geometry to be applied to the transformed data is selected, based, at least in part, on expected feature sizes present, data sampling density and a size of the subsurface region. A plurality of values for a three dimensional lacunarity statistic are calculated by applying the selected three dimensional window geometry to randomly selected regions of the subsurface region, and correlating the calculated values to the subsurface properties of the subsurface region.

Abstract: A model of a geologic volume of interest that represents the geological architecture of the geologic volume of interest is generated. The model is generated as a series of geologic events at a string of points in geologic time such that each event is deposited or eroded sequentially. A given geologic event is determined based on the topological and/or geological properties of the geologic volume of interest at the time of the geologic event, environmental conditions present at the time of the geologic event that impact geologic formation, deposition, and/or erosion, and/or other considerations. The given geologic event is further determined to honor, at least somewhat, local conditioning data that has been obtained during direct measurements of the geological parameters (and/or trends therein) within the geologic volume of interest.

Abstract: The geological architecture of a geologic volume of interest is estimated through the generation and/or selection of one or more numerical analog models of the geologic volume of interest that represent characteristics of the geologic volume of interest as a function of position within the geologic volume of interest. The estimation of geological architecture of the geologic volume of interest may be implemented in reservoir exploration and/or development.

Abstract: A system configured to model geometric architectures of flow events in geological reservoirs. In one embodiment, the system comprises a geological control input, a rules module, and a modeling module. The geological control input is configured to receive a set of environmental conditions that act as geological controls impacting a geometric architecture of a geological reservoir at a point in geologic time. The rules module is configured to apply a set of rules to the set of environmental conditions present at the point in geologic time to determine geometric flow parameters of the geometric architecture, wherein the set of rules comprise one or more empirical rules. The modeling module is configured to model the geometric architecture based on the geometric flow parameters determined for the flow event by the rules module.