Abstract: System and methods for heating boreholes include laser generators to trigger a chemical reaction to break down heavy hydrocarbons in boreholes. The systems and methods use arrays of laser generators or other heating sources at the borehole surface or within the borehole to heat the heavy hydrocarbons. The systems and methods may include hydrocarbon sensors within the borehole to detect gas seepage resulting from heating of the heavy hydrocarbons.

Abstract: System and methods for heating boreholes include laser generators to trigger a chemical reaction to break down heavy hydrocarbons in boreholes. The systems and methods use arrays of laser generators or other heating sources at the borehole surface or within the borehole to heat the heavy hydrocarbons. The systems and methods may include hydrocarbon sensors within the borehole to detect gas seepage resulting from heating of the heavy hydrocarbons.

Abstract: A global objective function is initialized to an initial value. A particular model simulation process is executed using prepared input data. A mismatch value is computed by using a local function to compare an output of the particular model simulation process to corresponding input data for the particular model simulation process. Model objects associated with the particular model simulation process are sent to another model simulation process. An optimization process is executed to predict new values for input data to reduce the computed mismatch value.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting seepage of hydrocarbons in subterranean zones. In one aspect, a method includes detecting hydrocarbon seepage at multiple different sampling depths from a surface in a surveyed geographic region, comparing each of the hydrocarbon seepage at the multiple different sampling depths, wherein hydrocarbon seepage at a reference depth is known, and determining hydrocarbon seepage through the surveyed geographic region based on a result of the comparison.

Abstract: A global objective function is initialized to an initial value. A particular model simulation process is executed using prepared input data. A mismatch value is computed by using a local function to compare an output of the particular model simulation process to corresponding input data for the particular model simulation process. Model objects associated with the particular model simulation process are sent to another model simulation process. An optimization process is executed to predict new values for input data to reduce the computed mismatch value.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting seepage of hydrocarbons in subterranean zones. In one aspect, a method includes detecting hydrocarbon seepage at multiple different sampling depths from a surface in a surveyed geographic region, comparing each of the hydrocarbon seepage at the multiple different sampling depths, wherein hydrocarbon seepage at a reference depth is known, and determining hydrocarbon seepage through the surveyed geographic region based on a result of the comparison.