Abstract:
The present invention relates to a tridimensional prototyping system (S) of complex underground geological structures and/or underground reservoirs, comprising at least an acquisition unit, for acquiring data relating to the physical structure of at least a hydrocarbon-mineralised underground geological structure or at least an underground reservoir from an outer scanning device; a processing or filtering unit, operatively connected to the acquisition unit, for removing superfluous data from said data in output from said acquisition unit; a conversion unit, operationally linked to said filtering unit, in order to convert said data in output from said filtering unit into a format compatible with an external tridimensional mechanical modelling module and for sending said data into said external tridimensional mechanical modelling module which sends final printable data in output; and a logic control unit linked to said acquisition unit, processing or filtering unit and conversion unit, which coordinates the data exchange among said acquisition unit, filtering unit, conversion unit and said external tridimensional mechanical modelling module in order to send said final printable data to an external tridimensional printer for printing the tridimensional prototype, wherein the tridimensional printer realises said tridimensional physical prototype using plastic powders and/or chalk powders and/or silicon polymers. The present invention also relates to a tridimensional prototyping method associated to the system.
Abstract:
The present invention relates to a method of processing seismic image of the subsurface, said seismic image comprising pixels, each pixel having a color value. The method comprises determining two surfaces in the seismic image, the two surfaces extending from one side of the seismic image to an opposite side of the seismic image, the two surfaces being determined based on geological information extracted from well data from at least one well in the subsurface; determining the dip components for pixels of the first surface and for pixels of the second surface; for each current pixel of the seismic image between the two surfaces: determining interpolated dip components based on dip components of the two surfaces; determining an interpolated surface based on at least the interpolated dip components; determining a density value based on a number of intersections of the determined surfaces with a column comprising said current pixel, said intersections being below said pixel in said column; determining a geological-time image, columns of said geological-time image are computed based on the density values of pixels of a corresponding column of the seismic image; and on the color value of pixels of the corresponding column of the seismic image.
Abstract:
A method of visually enhancing at least one geologic feature in 3D seismic survey data, comprising the steps of: (a) generating at least one attribute volume definable in Cartesian space and comprising at least one attribute derivable from said 3D seismic survey data; (b) generating a first Radon data volume from data resulting from a transaxial Radon Transform of said at least one attribute volume with respect to a first Cartesian axis; (c) generating a second Radon data volume from data resulting from a transaxial Radon Transform of said first Radon data volume with respect to a second Cartesian axis; (d) generating a third Radon data volume from data resulting from exponentiating a characteristic parameter of each one of a plurality of voxels forming said second Radon data volume to a predetermined first power value, and (e) applying a first Inverse Radon Transform to said third Radon data volume with respect to said second Cartesian axis, and a subsequent second Inverse Radon Transform to the resulting data from said first Inverse Radon Transform with respect to said first Cartesian axis.
Abstract:
Systems, methods, and software can be used to analyze microseismic data from a fracture treatment. In some aspects, data for a new microseismic event are from a fracture treatment of a subterranean zone. An updated parameter for a fracture plane is calculated. The fracture plane was previously generated based on data for prior microseismic events. The updated parameter calculated is calculated based on the data for the new microseismic event and the data for the prior microseismic events. A graphical representation of the fracture plane is displayed based on the updated parameter.
Abstract:
Systems, methods, and software can be used to identify fracture planes in a subterranean zone. In some aspects, data representing locations of microseismic events associated with a subterranean zone are received. Fracture plane parameters are calculated from the locations of the microseismic events. The fracture plane parameters are calculated based on a sum of weighted terms, and each of the weighted terms includes a weighting factor that decreases with a distance between at least one of the microseismic events and a fracture plane defined by the fracture plane parameters.
Abstract:
A method can include providing seismic data for a subsurface region that includes a reflector; processing at least a portion of the seismic data to generate at least one path that extends orthogonally to the reflector; and outputting output data representing the at least one path. Various other apparatuses, systems, methods, etc., are also disclosed.
Abstract:
A method of processing seismic data so as to provide an image of a subsurface region, comprises providing plurality of migrated shot gathers that contain information about the region, summing portions of the migrated shot gathers to provide a pilot stack, partitioning the plurality of gathers into a plurality of groups and summing the gathers in each group to provide a substack, wherein each group includes at least two migrated shots and wherein a substack is generated from each group, applying an amplitude normalization algorithm to the pilot stack so as to generate an amplitude-normalized pilot stack, calculating a weight function by comparing each substack to the normalized pilot stack, weighting each substack using the weight function so as to generate a plurality of weighted substacks, summing overlapping portions of the weighted substacks so as to generate a output stack, and using the output stack to generate an image.
Abstract:
In response to at least one input criterion, one or more target positions in an acquisition domain are determined for processing of survey data, where the survey data is acquired by survey equipment in the acquisition domain having a first set of dimensions, and where the processing of the survey data is to be performed in a processing domain having a second set of dimensions different from the first set of dimensions.
Abstract:
Disclosed is method for simulating materials subsurface to the earth. The method includes: receiving dimensions of each subsurface material to be simulated; receiving a value of a property for each of subsurface materials to be simulated; and constructing a three dimensional physical model of the subsurface materials using a three-dimensional printer, the three-dimensional printer being configured to print one or more layers of a print material for each of the subsurface materials being represented in the model wherein dimensions and a property value of the print material for each subsurface material being represented corresponds to the dimensions and the property value for that subsurface material.
Abstract:
Methods and apparatuses are disclosed that assist in correlating subsequent geophysical surveys. In some embodiments, geophysical data may be generated including a first set of data from a monitor survey that is matched with a second set of data from a baseline survey. An attribute value may be generated for each datum in the first set of data and each attribute value generated may be stored with its corresponding datum. Then, the first set of data may be processed based on the stored attribute values. In some embodiments, the attribute values may be based upon the geometric closeness of sources and receivers in the baseline and monitor surveys.