Systems and methods include a fluorescence measurement apparatus. A single-wavelength light source generates an excitation light source. A sample holder holds a sample and includes a surface transparent to the excitation light source. Mounts attached to the single-wavelength light source(s) or the sample holder change an incident angle of the excitation light source on the surface. Optical components positioned in a path of a fluorescence emission emitted from the surface guide the fluorescence emission to a detector that obtains spectra from at least first and second angles-of-incidence. A device records spectra obtained by the detector from the first and second angles-of-incidence, normalizes and analyzes intensities of the spectra, subtracts a first spectrum corresponding to the first angle-of-incidence from a second spectrum corresponding to the second angle-of-incidence to obtain a difference, identifying a sample type of the sample based on an API gravity mapped to the difference.

Methods and systems to monitor and analysis unconventional reservoirs with wellbores with a substantially horizontal section. Monitoring and analysis is conducted in three dimensions using high-resolution geochemical fingerprinting analyses of rock samples and produced oil samples. The invention uses methods to preserve, prepare, extract, and/or analyze hydrocarbons in the pore spaces of or adsorbed in organic-rich rock samples, such as, but not limited to, drill cuttings and drill cores, using one or more combinations of physical energy sources, including, but not limited to, thermal, vapor pressure, and mechanical stress. The collected samples are transported and prepared in low temperature conditions, with parts of subsequent processing at very low temperatures, thereby allowing a fuller measurement of geochemical fingerprints for the extracted hydrocarbons using various analysis tools. More particularly, the treatment and process allows geochemical fingerprinting to very low carbon number ranges. The techniques of the present invention may be used to optimize well stacking and spacing, completion design, and cluster efficiency evaluation to improve unconventional reservoir economics.

A method for determining the geological levels of reservoirs contributing to a sample from a produced oil well, by means of chromatographic composition data, as well as other characteristics of the produced oil and pure samples of oil originating from each of the different geological levels contributing to the sample. The method provided by the invention may be advantageously implemented in a computer.

A method for identifying in situ presence of a hydrocarbon reservoir or of a pipeline leakage is disclosed. The method can include obtaining a sample from an area of interest, such as a sediment sample or water column sample near a hydrocarbon seep or near an offshore pipeline; analyzing the sample to detect nucleic acid, protein or metabolite signatures that are indicative of cold-shock response; identifying the relative abundance of the cold-shock signatures present in the sample in comparison to the surrounding environment.

A method and device for obtaining microscopic occurrence characteristics of oil stored in a shale, where the microscopic occurrence characteristics include the adsorbed oil film thicknesses in the shale and the oil distribution in the shale. The method includes four steps. The first step is an experiment step in which a N-Hexane vapor adsorption experiment is performed on a sample made from a shale. The second step is a first obtaining step for calculating and obtaining the adsorbed oil film thicknesses in the shale. The third step is a first calculating step and the fourth step is a second obtaining step. They aim to obtain the oil distribution in the shale.

A computer receives a measured wetness of and a measured δ.sup.2H value associated with a test gas sample from a hydrocarbon formation. The measured wetness is a molar ratio of heavy gas compounds over a total gas within the measured sample. The computer receives calculated wetnesses calculated δ.sup.2H values associated with a gas samples taken from one or more analogous hydrocarbon reservoirs. The measured wetness received for the test gas sample is identified from among the plurality of calculated wetnesses. The computer determines a corresponding δ.sup.2H value from among the calculated δ.sup.2H values that corresponds to the measured wetness of the test gas sample. The computer determines a predicted sample VR.sub.o (vitrinite reflectance equivalent) for the test gas sample based on the corresponding δ.sup.2H value and a correlation of δ.sup.2H values to VR.sub.o values. Hydrocarbons are produced from the hydrocarbon formation based on the predicted sample VR.sub.o.

Samples are collected from a first wellbore and a second wellbore. Genetic material is extracted from the samples and analyzed to determine microorganisms present in subsurface geological features through which the first wellbore and the second wellbore pass. Movement of microorganisms originating in subsurface geological features at the location of the first wellbore to subsurface geological features at the location of the second wellbore can indicate movement of a carbon-based gas between the first wellbore and the second wellbore.

This disclosure presents a process to determine characteristics of a subterranean formation proximate a borehole. Borehole material can be typically pumped from the borehole, though borehole material can be used within the borehole as well. Extracted material of interest can be collected from the borehole material and prepared for analyzation. Typically, the preparation can utilize various processes, for example, separation, filtering, moisture removal, pressure control, cleaning, and other preparation processes. The prepared extracted material can be placed in a photoacoustic device where measurements can be taken, such as a photoacoustic imager or a photoacoustic spectroscopy device. A photoacoustic analyzer can generate results utilizing the measurements, where the results of the extracted material can include one or more of fracture parameters, fracture plane parameters, permeability parameters, porosity parameters, and composition parameters. The results can be communicated to other systems and processes to be used as inputs.

The present invention provides a method for estimating fluid saturation of a hydrocarbon-bearing rock from a rock image. The image is segmented to represent either a pore space or solid material in the rock. An image pore volume is estimated from the segmented image, and a corrected pore volume is determined to account for the sub-resolution pore volume missing in the image of the rock. An image-derived wetting fluid saturation of the rock is estimated using a direct flow simulation on the rock image and corrected for the corrected pore volume. A backpropagation-enabled trained model can be used to segment the image. A backpropagation-enabled method can be used to estimate the fluid saturation using an image selected from a series of 2D projection images, 3D reconstructed images and combinations thereof.

A method for determining the concentration of asphaltenes in a solution is described. A model is first established for estimating the concentration of asphaltenes in a solution based on multiple samples of solutions of asphaltenes in the solvent in which the concentrations are known. The multiple samples have varying concentrations of asphaltenes. The diffusivity and relaxation time are measured for each sample using two-dimensional NMR. The ratio of diffusivity to relaxation time for each sample is then calculated. A linear equation is determined to fit the relationship between the ratio of diffusivity to relaxation time and the asphaltene concentration by weight for the multiple samples, thus creating the model. For a given solution sample for which the concentration of asphaltenes is desired to be determined, diffusivity and relaxation time are determined using two-dimensional NMR, and the ratio of diffusivity to relaxation time is calculated. This ratio is then used with the model, so that the linear equation can be solved for the asphaltene concentration in the given solution sample.