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: 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 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 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: Visually enhancing a geological feature in 3D seismic survey data may include selecting a first seismic trace from a 3D seismic survey dataset. Said first seismic trace is subdivided into a plurality of identified characteristic segments. At least one first analytical model function is generated for each of said plurality of identified characteristic segments. At least one adapted wavelet from an existing dictionary is utilized. A matching characteristic is determined between said first seismic trace and said at least one first analytical model function. Said at least one first analytical model function is optimized with respect to said matching characteristic. Both determining a matching characteristic, and optimizing said at least one first analytical model function, are repeated until a predetermined condition is met. A model dataset is generated from said optimized at least one first analytical model function for at least part of said first seismic trace for visual representation.

Abstract: A method is provided for an improved interpretation of seismic data, comprising the steps of: •(a) obtaining a 3D seismic data set from a predetermined region; •(b) generating at least one attribute volume comprising at least one attribute of said 3D seismic data; •(c) selecting a zone of interest from said at least one attribute volume of said 3D seismic data set; •(d) determining a frequency spectrum of said zone of interest; •(e) generating a synthetic model of said zone of interest based on said frequency spectrum of said zone of interest and the model defined by at least a three dimensional space, wherein a first variable parameter is variable in a first dimension of the space, and at least a second variable parameter is variable in at least a second and/or third dimension; •(f) calibrating said synthetic model utilizing additional data indicative to physical properties of said zone of interest; •(g) utilizing said calibrated synthetic model to provide the frequency spectrum of a synthetic seismic respon

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: A method is provided for an improved interpretation of seismic data, comprising the steps of: (a) obtaining a 3D seismic data set from a predetermined region; (b) generating at least one attribute volume comprising at least one attribute of said 3D seismic data; (c) selecting a zone of interest from said at least one attribute volume of said 3D seismic data set; (d) determining a frequency spectrum of said zone of interest; (e) generating a synthetic model of said zone of interest based on said frequency spectrum of said zone of interest and the model defined by at least a three dimensional space, wherein a first variable parameter is variable in a first dimension of the space, and at least a second variable parameter is variable in at least a second and/or third dimension; (f) calibrating said synthetic model utilising additional data indicative to physical properties of said zone of interest; (g) utilising said calibrated synthetic model to provide the frequency spectrum of a synthetic seismic response of s

Abstract: A thermodynamic machine (1) of a Stirling type, the machine comprising an expansion chamber (5), a compression chamber (6), a regenerator (12) disposed between the expansion and compression chambers; a first heat exchanger (13) in communication with the expansion chamber and the regenerator; a second heat exchanger (14) in communication with the compression chamber and the regenerator; a first bypass conduit (15) connecting the expansion chamber with the regenerator bypassing the first heat exchanger; a second bypass conduit (16) connecting the compression chamber with the regenerator bypassing the second heat exchanger; at least a pair valves (18, 20, 22, 24), one valve (18, 20) provided between the expansion chamber and the first heat exchanger and/or between the regenerator and the first heat exchanger and/or in the first bypass conduit between the expansion chamber and the regenerator; and the other valve (22, 24) provided between the compression chamber and the second heat exchanger and/or between the re

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).