Abstract: A method of analyzing hydrocarbon-related data is disclosed. Data representative of a hydrocarbon entity is presented. A physiological response of a viewer of the data is sensed. The physiological response is associated with the data. The data and a representation of the associated physiological response is outputted.

Abstract: A method for identifying a plurality of features of interest in a seismic image includes ranking each feature of interest. The method also includes modeling a relationship between the rank of each feature of interest and a user rating of the feature of interest. The method further includes updating the ranking of the plurality of features of interest, including (1) receiving a user rating for one feature of interest that has not been previously rated by a user; (2) updating the model of the relationship between the rank of each feature of interest and the user rating of the feature of interest based on the user rating; (3) applying the model to the ranking of the plurality of features of interest; and (4) repeating steps (1)-(3) until a termination criterion is met.

Abstract: A method includes accessing a seismic image comprising a plurality of features of interest. The method also includes defining a plurality of configuration files for a plurality of graphical models. The method further includes applying the plurality of graphical models to the seismic image. The method also includes generating a plurality of scores for each feature of interest, wherein each graphical model generates a score for each feature of interest. The method further includes combining the plurality of scores for each feature of interest into a plurality of combined scores, wherein each feature of interest has a combined score.

Abstract: A method of analyzing hydrocarbon-related data is disclosed. Data representative of a hydrocarbon entity is presented. A physiological response of a viewer of the data is sensed. The physiological response is associated with the data. The data and a representation of the associated physiological response is outputted.

Abstract: A method of analyzing hydrocarbon-related data is disclosed. Data representative of a hydrocarbon entity is presented. A physiological response of a viewer of the data is sensed. The physiological response is associated with the data. The data and a representation of the associated physiological response is outputted.

Abstract: Systems and methods which utilize functional objects in connectivity analysis are shown. Functional objects may be denoted by a geological feature, a user-defined location, a critical point in a connection network, a region within a 3D volume, etc. Each functional object preferably possesses and/or has associated therewith an ability to obtain information such as relevant connection pathways, linked regions of interest, statistical connection information, etc. Such functional objects may have dynamic regions associated therewith, such as to define an area of uncertainty, for facilitating exploring connectivity. Desired connectivity information can be revealed interactively from within a confusing web of connection pathways through use of the functional objects. Through interactive manipulation of functional objects analysis may be refined or revised. Additionally or alternatively, logical operations may be applied with respect to one or more functional objects to extend or reduce the connectivity of interest.

Abstract: A method includes accessing a seismic image comprising a plurality of features of interest. The method also includes defining a plurality of configuration files for a plurality of graphical models. The method further includes applying the plurality of graphical models to the seismic image. The method also includes generating a plurality of scores for each feature of interest, wherein each graphical model generates a score for each feature of interest. The method further includes combining the plurality of scores for each feature of interest into a plurality of combined scores, wherein each feature of interest has a combined score.

Abstract: A method for identifying a plurality of features of interest in a seismic image includes ranking each feature of interest. The method also includes modeling a relationship between the rank of each feature of interest and a user rating of the feature of interest. The method further includes updating the ranking of the plurality of features of interest, including (1) receiving a user rating for one feature of interest that has not been previously rated by a user; (2) updating the model of the relationship between the rank of each feature of interest and the user rating of the feature of interest based on the user rating; (3) applying the model to the ranking of the plurality of features of interest; and (4) repeating steps (1)-(3) until a termination criterion is met.

Abstract: Method for mitigating coherent noise and seismic data using an adaptively varying filter. The strongest and most coherent pattern (53), generally associated with the geology, is adaptively removed (56) from the original seismic data, producing an intermediate product that consists predominantly of noise. These noise data are then removed from the original input data (57) to produce a significantly more interpretable seismic volume.

Abstract: There is provided a system and method for creating model of a subsurface region based on multiple depth values. The method includes selecting seeds that represent a starting location within a desired horizon surfaces and generating a plurality of candidate horizons from the selected seeds. A number of depth values from the candidate horizons may be combined into a representative depth value and an uncertainty may be computed based on discrepancies among the depth values. A model of the subsurface region may be created using the depth values and the uncertainty.

Abstract: A method and system are described for identifying a geologic object through cross sections of a geologic data volume. The method includes obtaining a geologic data volume having a set of cross sections. Then, two or more cross sections are selected and a transformation vector is estimated between the cross sections. Based on the transformation vector, a geologic object is identified within the geologic data volume.

Abstract: Method for mitigating coherent noise and seismic data using an adaptively varying filter. The strongest and most coherent pattern (53), generally associated with the geology, is adaptively removed (56) from the original seismic data, producing an intermediate product that consists predominantly of noise. These noise data are then removed from the original input data (57) to produce a significantly more interpretable seismic volume.

Abstract: A method of creating a visual display based on a plurality of data sources is provided. An exemplary embodiment of the method comprises extracting a set of extracted data from the plurality of data sources and processing at least a portion of the extracted data with a set of knowledge agents according to specific criteria to create at least one data assemblage. The exemplary method also comprises providing an integrated two-dimensional/three-dimensional (2D/3D) visual display in which at least one 2D element of the at least one data assemblage is integrated into a 3D visual representation using a mapping identifier and a criteria identifier.

Abstract: There is provided a system and method for creating model of a subsurface region based on multiple depth values. The method includes selecting seeds that represent a starting location within a desired horizon surfaces and generating a plurality of candidate horizons from the selected seeds. A number of depth values from the candidate horizons may be combined into a representative depth value and an uncertainty may be computed based on discrepancies among the depth values. A model of the subsurface region may be created using the depth values and the uncertainty.

Abstract: A method is disclosed for determining the connectivity architecture of a hydrocarbon reservoir in terms of locally optimal paths between selected source points, e.g. wells. In one embodiment of the invention, a fast-marching method (133) is used to compute the distance field (or the time of arrival field) from N selected source points in a heterogeneous media, i.e. in a non-uniform velocity field. This is done by propagating N labeled (132) fronts simultaneously from N objects. Then, a method (134) is disclosed for detecting Voronoi curves or Voronoi surfaces, where fronts of differing labels meet each other. Then, saddle points are found on the Voronoi curves or surfaces (135), and each saddle point is used to determine a locally optimal path (136) between a pair of equidistant (from the saddle point), closest (to the saddle point) source points.

Abstract: A method of analyzing hydrocarbon-related data is disclosed. Data representative of a hydrocarbon entity is presented. A physiological response of a viewer of the data is sensed. The physiological response is associated with the data. The data and a representation of the associated physiological response is outputted.

Abstract: A method and system are described for identifying a geologic object through cross sections of a geologic data volume. The method includes obtaining a geologic data volume having a set of cross sections. Then, two or more cross sections are selected and a transformation vector is estimated between the cross sections. Based on the transformation vector, a geologic object is identified within the geologic data volume.

Abstract: Systems and methods which utilize functional objects in connectivity analysis are shown. Functional objects may be denoted by a geological feature, a user-defined location, a critical point in a connection network, a region within a 3D volume, etc. Each functional object preferably possesses and/or has associated therewith an ability to obtain information such as relevant connection pathways, linked regions of interest, statistical connection information, etc. Such functional objects may have dynamic regions associated therewith, such as to define an area of uncertainty, for facilitating exploring connectivity. Desired connectivity information can be revealed interactively from within a confusing web of connection pathways through use of the functional objects. Through interactive manipulation of functional objects analysis may be refined or revised. Additionally or alternatively, logical operations may be applied with respect to one or more functional objects to extend or reduce the connectivity of interest.

Abstract: A method of creating a visual display based on a plurality of data sources is provided. An exemplary embodiment of the method comprises extracting a set of extracted data from the plurality of data sources and processing at least a portion of the extracted data with a set of knowledge agents according to specific criteria to create at least one data assemblage. The exemplary method also comprises providing an integrated two-dimensional/three-dimensional (2D/3D) visual display in which at least one 2D element of the at least one data assemblage is integrated into a 3D visual representation using a mapping identifier and a criteria identifier.

Abstract: A method is disclosed for determining the connectivity architecture of a hydrocarbon reservoir in terms of locally optimal paths between selected source points, e.g. wells. In one embodiment of the invention, a fast-marching method (133) is used to compute the distance field (or the time of arrival field) from N selected source points in a heterogeneous media, i.e. in a non-uniform velocity field. This is done by propagating N labeled (132) fronts simultaneously from N objects. Then, a method (134) is disclosed for detecting Voronoi curves or Voronoi surfaces, where fronts of differing labels meet each other. Then, saddle points are found on the Voronoi curves or surfaces (135), and each saddle point is used to determine a locally optimal path (136) between a pair of equidistant (from the saddle point), closest (to the saddle point) source points.