Abstract: A computer-implemented method for detecting at least one natural contour of a geologic object in 3D seismic data may comprise: (a) receiving at least one first predetermined data set from said 3D seismic data comprising a plurality of phase events; (b) selecting at least one first seed phase event having a first phase characteristic from said plurality of phase events; (c) determine a characterizing score between said selected at least one first seed phase event and each one of a predetermined number of candidate phase events of said at least one first predetermined data set; (d) assigning said characterizing score to each one of said predetermined number of candidate phase events; (e) adjusting said characterizing score of at least one of said predetermined number of candidate phase events in accordance with at least one first boundary condition; (f) determining at least one natural contour between said at least one first seed phase event and at least a second phase event, utilizing an optimization algorithm

Abstract: A computer-implemented method is provided for interpreting geophysical data utilising an Artificial Neural Network (ANN), performed by electronic operations executed by a computing device, comprising: performing a training processing step on at least one training-data set, comprising the steps of: (a) generating a first label-data by segmenting said at least one training-data set into at least a first region, representing a known first region having at least one identified geological feature, and/or a second region, representing a known second region having at least one unidentified geological feature, and a third region, representing an unknown region; (b) generating a first ANN model output for a dynamically adaptable Region of Interest (ROI) of said first label-data, said dynamically adaptable ROI including said first and/or second region; (c) generating an updated label-data by selecting at least a first portion of any one of said first, second and third region, and labelingly append at least said first p

Abstract: Techniques for generating a geological model from 3D seismic data and rock property data are disclosed. Rock property data and 3D seismic data are received. Based on the rock property data and the 3D seismic data, an adaptive geological model is generated. The adaptive geological model includes a characteristic geological property. Synthetic seismic data is generated from a first region of interest of the adaptive geological model. The synthetic seismic data is adapted to facilitate a comparison between the first region of interest and a corresponding region of interest of the received 3D seismic data. The characteristic geological property is adjusted until the comparison indicates a result that is within a predetermined threshold region of the corresponding value from the rock properties. A validated geologic model is then generated.

Abstract: A computer-implemented method for detecting at least one natural contour of a geologic object in 3D seismic data may comprise: (a) receiving at least one first predetermined data set from said 3D seismic data comprising a plurality of phase events; (b) selecting at least one first seed phase event having a first phase characteristic from said plurality of phase events; (c) determine a characterizing score between said selected at least one first seed phase event and each one of a predetermined number of candidate phase events of said at least one first predetermined data set; (d) assigning said characterizing score to each one of said predetermined number of candidate phase events; (e) adjusting said characterizing score of at least one of said predetermined number of candidate phase events in accordance with at least one first boundary condition; (f) determining at least one natural contour between said at least one first seed phase event and at least a second phase event, utilizing an optimization algorithm

Abstract: A computer executable algorithm adapted to propagate a boundary surface of a seed that is placed within a region of interest of a visual representation of a 3D seismic data so as to follow a natural contour of said region of interest, wherein said algorithm is executable to: (i) generate at least one attribute volume comprising at least on attribute derivable from said 3D seismic data set; (ii) generate at least one characteristic parameter for a plurality of candidate events of said 3D seismic data within a predefined gate region located forward of said propagating boundary surface; (iii) generate and assign a probability characteristic for said plurality of candidate events based on said at least one attribute volume and said at least one characteristic parameter; and propagate said boundary surface towards and incorporating any one of said plurality of candidate events that fulfils an acceptance criteria of said probability characteristic so as to generate a surface along the natural contour of said region

Abstract: The present invention describes A computer implemented method for generating a validated geological model from three-dimensional (3D) seismic data and legacy data, the method comprising the steps of (a) receiving said legacy data from a first data source; (b) receiving said 3D seismic data from a second data source; (c) based on receiving said legacy data and said 3D seismic data, generating an adaptive geological model from said 3D seismic data, said adaptive geological model comprising at least one characteristic geological property; (d) generating at least one synthetic seismic data from at least a first region of interest of said adaptive geological model, the synthetic seismic data being adapted to determine a qualitative similarity value between at least said first region of interest of said adaptive geological model and a corresponding region of interest of said received 3D seismic data; (e) comparing said qualitative similarity value to a corresponding value within said legacy data; (f) adjusting said

Abstract: A method for enhancing visual representation of a geologic feature in 3D seismic survey data, comprising the steps of: (a) generating a plurality of first attribute volumes, each comprising at least one characterising attribute, derivable from said 3D seismic data and different from the characterising attributes of any one of the other said plurality of first attribute volumes; (b) generating a plurality of filtered attribute volumes for each one of said plurality of first attribute volumes, utilizing a plurality of distinct filter settings at each one of said at least one characterising attribute; (c) generating a composite attribute volume by selectively combining one or more of said plurality of filtered attribute volumes so as to maximise visual detectability of said geologic feature.

Abstract: A method for adaptively determining one or more faults from geological survey data includes: (a) generating at least one attribute volume comprising a plurality of attributes from said geological survey data; (b) identifying at least one region of interest on a predetermined cross-section of said at least one attribute volume; (c) adding at least one seed to said at least one region of interest; (d) defining at least one representative area in accordance with said region of interest; (e) starting an initial generation of at least one basic geological object by adapting said at least one seed and/or representative area; (f) selectively determining growth confidence levels for any of said at least one basic geological object based on a realistic geological principles, and mapping said at least one basic geological object with colour-coded data of said growth confidence levels; (g) monitoring a visual representation of said at least one basic geological object during said initial generation; (h) selectively stop

Abstract: The present invention provides a computer-implemented method for detecting at least one natural contour of a geologic object in 3D seismic data, the method comprising the steps of: (a) receiving at least one first predetermined data set from said 3D seismic data comprising a plurality of phase events; (b) selecting at least one first seed phase event having a first phase characteristic from said plurality of phase events; (c) determine a characterising score between said selected at least one first seed phase event and each one of a predetermined number of candidate phase events of said at least one first predetermined data set; (d) assign said characterising score to each one of said predetermined number of candidate phase events; (e) adjust said characterising score of at least one of said predetermined number of candidate phase events in accordance with at least one first boundary condition; (f) determine at least one natural contour between said at least one first seed phase event and at least a second ph

Abstract: The present invention describes a method for adaptively determining a plurality of sedimentary facies from 3D seismic data, comprising the steps of (a) generating an attribute volume comprising at least one attribute from said 3D seismic data; (b) generating at least one frequency decomposition color blend volume from said 3D seismic data; (c) generating a data volume comprising at least one geological object utilizing data from said attribute volume and said frequency decomposition color blend volume; (d) generating a facies classification model dataset for a predetermined region of interest of said 3D seismic data applying a probabilistic algorithm and utilizing data from said geobody volume and said frequency decomposition color blend volume; (e) selectively adjusting at least one first model parameter, so as to optimize said facies classification model dataset in accordance with a conceptual geological model; and (f) selectively providing said facies classification model dataset in a representative proper

Abstract: The present invention describes a method for adaptively determining a plurality of sedimentary facies from 3D seismic data, comprising the steps of (a) generating an attribute volume comprising at least one attribute from said 3D seismic data; (b) generating at least one frequency decomposition colour blend volume from said 3D seismic data; (c) generating a data volume comprising at least one geological object utilising data from said attribute volume and said frequency decomposition colour blend volume; (d) generating a facies classification model dataset for a predetermined region of interest of said 3D seismic data applying a probabilistic algorithm and utilizing data from said geobody volume and said frequency decomposition colour blend volume; (e) selectively adjusting at least one first model parameter, so as to optimise said facies classification model dataset in accordance with a conceptual geological model; and (f) selectively providing said facies classification model dataset in a representative pro

Abstract: A method for enhancing visual representation of a geologic feature in 3D seismic survey data, comprising the steps of: (a) generating a plurality of first attribute volumes, each comprising at least one characterising attribute, derivable from said 3D seismic data and different from the characterising attributes of any one of the other said plurality of first attribute volumes; (b) generating a plurality of filtered attribute volumes for each one of said plurality of first attribute volumes, utilizing a plurality of distinct filter settings at each one of said at least one characterising attribute; (c) generating a composite attribute volume by selectively combining one or more of said plurality of filtered attribute volumes so as to maximise visual detectability of said geologic feature.

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 da

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 da

Abstract: A computer executable algorithm adapted to propagate a boundary surface of a seed that is placed within a region of interest of a visual representation of a 3D seismic data so as to follow a natural contour of said region of interest, wherein said algorithm is executable to: (i) generate at least one attribute volume comprising at least on attribute derivable from said 3D seismic data set; (ii) generate at least one characteristic parameter for a plurality of candidate events of said 3D seismic data within a predefined gate region located forward of said propagating boundary surface; (iii) generate and assign a probability characteristic for said plurality of candidate events based on said at least one attribute volume and said at least one characteristic parameter; and propagate said boundary surface towards and incorporating any one of said plurality of candidate events that fulfils an acceptance criteria of said probability characteristic so as to generate a surface along the natural contour of said region

Abstract: A method for adaptively determining one or more faults from geological survey data includes: (a) generating at least one attribute volume comprising a plurality of attributes from said geological survey data; (b) identifying at least one region of interest on a predetermined cross-section of said at least one attribute volume; (c) adding at least one seed to said at least one region of interest; (d) defining at least one representative area in accordance with said region of interest; (e) starting an initial generation of at least one basic geological object by adapting said at least one seed and/or representative area; (f) selectively determining growth confidence levels for any of said at least one basic geological object based on a realistic geological principles, and mapping said at least one basic geological object with colour-coded data of said growth confidence levels; (g) monitoring a visual representation of said at least one basic geological object during said initial generation; (h) selectively stop

Abstract: A method of 3D object delineation from 3D seismic data comprising the steps of, providing 3D seismic data; processing the data based on at least one characteristic whereby said characteristic is extracted from the data and compared with at least one reference characteristic and delineated based on the comparison, and defining a geological element based on the delineation. The characteristics may be adjusted. Data can be processed based on one characteristic then processed based on a second characteristic or data is processed based on two characteristics substantially simultaneously. Data may be processed n times producing n delineations from which the geological element is defined. An algorithm is provided for processing the data which may shift an evolving shape description of an object between explicit and implicit representations, where each shift applies a transformation to the object. Multiple sources of data may be utilized simultaneously to drive the delineation process.

Abstract: Disclosed is a method of 3D object delineation from 3D seismic data comprising the steps of providing 3D seismic data (144,200,300; processing the data (210,310) based on at least one characteristic (320) whereby said characteristic is extracted from the data and compared with at least one reference characteristic and delineated (330) based on the comparison, and defining a geological element (340) based on the delineation. The characteristics (320) may be adjusted. Data can be processed (210,310) based on one characteristic (222,232) then processed based on a second characteristic (224,234) or data is processed based on two characteristics substantially simultaneously (252). Data may be processed n times (246) producing n delineations from which the geological element is defined (260).

Abstract: A method of 3D object delineation from 3D seismic data comprising the steps of, providing 3D seismic data; processing the data based on at least one characteristic whereby said characteristic is extracted from the data and compared with at least one reference characteristic and delineated based on the comparison, and defining a geological element based on the delineation. The characteristics may be adjusted. Data can be processed based on one characteristic then processed based on a second characteristic or data is processed based on two characteristics substantially simultaneously. Data may be processed n times producing n delineations from which the geological element is defined. An algorithm is provided for processing the data which may shift an evolving shape description of an object between explicit and implicit representations, where each shift applies a transformation to the object. Multiple sources of data may be utilised simultaneously to drive the delineation process.

Abstract: A system and a method for performing over the air programming (“OTAP”) to update computer code in a remote computer. The method includes transmitting computer code over the air to the remote device and writing the computer code to at least one memory device located in the remote device. In one embodiment, the remote device is a cellular phone and the computer code is transmitted over a cellular phone network.