Abstract: A method is disclosed for determining a presence, type, quality and/or volume of a subsurface hydrocarbon accumulation from a sample related thereto. The method may include obtaining sample data associated with a subsurface hydrocarbon accumulation, wherein the sample data includes a noble gas signature, a clumped isotope signature and/or a ecology signature. From the signatures, relationships between the noble gas signature; the clumped isotope signature and the ecology signature are identified and stored in memory.

Abstract: A method is disclosed for determining for determining a presence, type, quality and/or volume of a subsurface hydrocarbon accumulation from a sample related thereto. The method may include determining a noble gas signature of a sample and at least one or more of determining a clumped isotope signature of the sample and characterizing the ecology signature of the sample. Then, the method integrates signatures to determine information about the subsurface accumulation, such as the location, fluid type and quality, and volume of a subsurface hydrocarbon accumulation.

Abstract: A method is disclosed for producing hydrocarbons with the use of reservoir surveillance. The method includes interpreting a sample to determine noble gas signatures and clumped isotope signatures for the region of interest. Then, using the region of interest fingerprint to perform reservoir surveillance on produced fluids from the subsurface regions.

Abstract: A method for detecting hydrocarbons is described. The method includes performing a remote sensing survey of a survey location to identify a target location. Then, an underwater vehicle (UV) is deployed into a body of water and directed to the target location. The UV collects measurement data within the body of water at the target location, which is then analyzed to determine whether hydrocarbons are present at the target location.

Abstract: A method for detecting hydrocarbons with an underwater vehicle equipped with one or more measurement components is described. The method includes navigating the UV within the body of water; monitoring the body of water with measurement components associated with the UV to collect measurement data. The collected data from the UV is used to determine whether hydrocarbons are present and at the location.

Abstract: A method is disclosed for determining for determining a presence, type, quality and/or volume of a subsurface hydrocarbon accumulation from a sample related thereto. The method may include determining a noble gas signature of a sample and at least one or more of determining a clumped isotope signature of the sample and characterizing the ecology signature of the sample. Then, the method integrates signatures to determine information about the subsurface accumulation, such as the location, fluid type and quality, and volume of a subsurface hydrocarbon accumulation.

Abstract: A method is disclosed for determining a presence, type, quality and/or volume of a subsurface hydrocarbon accumulation from a sample related thereto. The method may include obtaining sample data associated with a subsurface hydrocarbon accumulation, wherein the sample data includes a noble gas signature, a clumped isotope signature and/or a ecology signature. From the signatures, relationships between the noble gas signature; the clumped isotope signature and the ecology signature are identified and stored in memory.

Abstract: A method for detecting hydrocarbons with an underwater vehicle equipped with one or more measurement components is described. The method includes navigating the UV within the body of water; monitoring the body of water with measurement components associated with the UV to collect measurement data. The collected data from the UV is used to determine whether hydrocarbons are present and at the location.

Abstract: A method is disclosed for producing hydrocarbons with the use of reservoir surveillance. The method includes interpreting a sample to determine noble gas signatures and clumped isotope signatures for the region of interest. Then, using the region of interest fingerprint to perform reservoir surveillance on produced fluids from the subsurface regions.

Abstract: A method for detecting hydrocarbons is described. The method includes performing a remote sensing survey of a survey location to identify a target location. Then, an underwater vehicle (UV) is deployed into a body of water and directed to the target location. The UV collects measurement data within the body of water at the target location, which is then analyzed to determine whether hydrocarbons are present at the target location.

Abstract: A method of analyzing dip in a seismic data volume in which a horizontal gradient is calculated in a first direction in the seismic data volume. A vertical gradient is calculated at data locations in the seismic data volume corresponding to the locations at which the horizontal gradient was calculated. Dip is calculated in the first direction from the horizontal gradient in the first direction and the vertical gradient. Repetition of the process for the entire seismic data volume results in a dip volume.

Abstract: A method for predicting the connectivity of seismic objects identified by seed detection or similar methods.

Abstract: A method for predicting the connectivity of seismic objects identified by seed detection or similar methods.

Abstract: A method of calculating reflection curvature in a seismic data volume wherein an apparent dip value is calculated in a first direction to generate a first apparent dip volume. A horizontal gradient is calculated in the first direction in the first apparent dip volume using a specified length scale to generate a first curvature volume. The process may be repeated one or more times, and the individual curvature volumes combined to generate a combined curvature volume for the seismic data volume.

Abstract: A method for training a probabilistic neural network to map seismic attributes or similar quantities.

Abstract: A method of analyzing dip in a seismic data volume in which a horizontal gradient is calculated in a first direction in the seismic data volume. A vertical gradient is calculated at data locations in the seismic data volume corresponding to the locations at which the horizontal gradient was calculated. Dip is calculated in the first direction from the horizontal gradient in the first direction and the vertical gradient. Repetition of the process for the entire seismic data volume results in a dip volume.

Abstract: A method of calculating reflection curvature in a seismic data volume wherein an apparent dip value is calculated in a first direction to generate a first apparent dip volume. A horizontal gradient is calculated in the first direction in the first apparent dip volume using a specified length scale to generate a first curvature volume. The process may be repeated one or more times, and the individual curvature volumes combined to generate a combined curvature volume for the seismic data volume.

Abstract: A method for training a probabilistic neural network to map seismic attributes or similar quantities.

Abstract: Seismic facies are identified in a volume of seismic data, wherein, first, a plurality of initial textural attributes representative of the volume of seismic data are calculated. Next, a probabilistic neural network is constructed from the calculated initial textural attributes. Then, final textural attributes are calculated throughout the volume of seismic data. Finally, the calculated final textural attributes are classified using the constructed probabilistic neural network.

Abstract: Seismic facies are identified in a volume of seismic data, wherein, first, a plurality of initial textural attributes representative of the volume of seismic data are calculated. Next, a probabilistic neural network is constructed from the calculated initial textural attributes. Then, final textural attributes are calculated throughout the volume of seismic data. Finally, the calculated final textural attributes are classified using the constructed probabilistic neural network.