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 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 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 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 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: The invention relates to a multivariate method of inverting paleothermometer and age indicator data to derive the temperature history of rocks. The method uses kinetic models of geologic material transformations and a simple but flexible representation of bed temperature history to invert the paleothermometer data. The method inverts the data by employing a genetic algorithm computation and kinetic model S. The result is a family of temperature histories which more accurately and more completely characterize temperature histories consistent with the rock samples than is possible by prior art methods.