Abstract: The present invention relates to a method and system for quantitatively evaluating surface roughness of an organic pore of kerogen in shale. The method includes: making a shale sample; applying a circle of silver-painted conductive tape on the edge of the shale sample to obtain a processed sample; conducting image scanning on the processed sample to obtain a scanned image; determining a kerogen area according to the scanned image; determining an organic pore area according to the kerogen area; carrying out gridding treatment on the organic pore area to obtain multiple grid cells; adopting double integral calculation on each of the grid cells to obtain the areas of the multiple grid cells; summing each of the areas to obtain the surface area of the organic pore; and evaluating surface roughness of the organic pore according to the surface area of the pore.

Abstract: A system is provided for detecting the mass of oil in an inorganic mineral of shale. The system operates by performing an extraction test on a first shale sample by using chloroform to obtain a total content of shale oil in the shale; enriching kerogen from the second shale sample to obtain dry kerogen; and performing an extraction test on oven-dried kerogen by using chloroform to determine the mass of extracted kerogen. The system also operates by determining the mass of the oil in the organic matter of the shale sample and the mass of the oil in an inorganic mineral of the shale; establishing a model for predicting a ratio of the mass of the oil in the inorganic mineral of the shale to the mass of the oil in the organic matter; and using the prediction model to determine the mass of oil in an inorganic mineral.

Abstract: A method for identifying mineral pore types in mud shale includes: determining an inorganic mineral pore image and a kerogen region image of a mud shale Scanning Electron Microscopy (SEM) gray-scale image; performing an expansion operation on the inorganic mineral pore image to obtain an expanded inorganic mineral pore image; comparing the inorganic mineral pore image with the expanded inorganic mineral pore image, and determining an extra region in the expanded inorganic mineral pore image as an expansion region; collecting statistics about the number of pixel points of a siliceous mineral, a calcareous mineral, and a clay mineral; calculating the proportion of each mineral according to the number of pixel points of the minerals; drawing a mineral pore triangular image chart according to the proportions of minerals; and determining the mineral type corresponding to the pores in the inorganic mineral pore image according to the mineral pore triangular image chart.

Abstract: A method and system for quantitatively evaluating kerogen swelling oil in shale is provided. The method includes: establishing different types of kerogen molecular models, and loading each of the kerogen molecular models into a graphene slit-type pore composed of a lamellar structure; performing energy minimization (EM), relaxation and annealing to obtain a kerogen slit-type pore; loading a shale oil molecule into the kerogen slit-type pore to obtain an initial model of swelling and adsorption of shale oil in kerogen; assigning a value to a force field of the shale oil molecule and the kerogen molecule in the swelling and adsorption model to obtain a density of the kerogen and the shale oil; plotting a density curve of the kerogen and the shale oil; calculating kerogen swelling oil mass; determining per-unit kerogen swelling oil mass; and determining the kerogen swelling oil mass in different evolution stages.

Abstract: The present invention relates to a method and system for quantitatively evaluating surface roughness of an organic pore of kerogen in shale. The method includes: making a shale sample; applying a circle of silver-painted conductive tape on the edge of the shale sample to obtain a processed sample; conducting image scanning on the processed sample to obtain a scanned image; determining a kerogen area according to the scanned image; determining an organic pore area according to the kerogen area; carrying out gridding treatment on the organic pore area to obtain multiple grid cells; adopting double integral calculation on each of the grid cells to obtain the areas of the multiple grid cells; summing each of the areas to obtain the surface area of the organic pore; and evaluating surface roughness of the organic pore according to the surface area of the pore.

Abstract: A method and system for detecting an amount of shale oil based on an occurrence state, wherein an occurrence-state-based shale oil quantification model is established in accordance with a kerogen swelled amount, an amount of kerogen absorbed oil, an amount of free oil in an organic pore, an amount of adsorbed oil by an inorganic mineral and an amount of free oil in an inorganic pore, and detects an amount of shale oil is detected in accordance with the occurrence-state-based shale oil quantification model, such that the accuracy of the evaluation of shale oil mobility is improved.

Abstract: A system is provided for detecting the mass of oil in an inorganic mineral of shale. The system operates by performing an extraction test on a first shale sample by using chloroform to obtain a total content of shale oil in the shale; enriching kerogen from the second shale sample to obtain dry kerogen; and performing an extraction test on oven-dried kerogen by using chloroform to determine the mass of extracted kerogen. The system also operates by determining the mass of the oil in the organic matter of the shale sample and the mass of the oil in an inorganic mineral of the shale; establishing a model for predicting a ratio of the mass of the oil in the inorganic mineral of the shale to the mass of the oil in the organic matter; and using the prediction model to determine the mass of oil in an inorganic mineral.

Abstract: A method for identifying mineral pore types in mud shale includes: determining an inorganic mineral pore image and a kerogen region image of a mud shale Scanning Electron Microscopy (SEM) grayscale image; performing an expansion operation on the inorganic mineral pore image to obtain an expanded inorganic mineral pore image; comparing the inorganic mineral pore image with the expanded inorganic mineral pore image, and determining an extra region in the expanded inorganic mineral pore image as an expansion region; collecting statistics about the number of pixel points of a siliceous mineral, a calcareous mineral, and a clay mineral; calculating the proportion of each mineral according to the number of pixel points of the minerals; drawing a mineral pore triangular image chart according to the proportions of minerals; and determining the mineral type corresponding to the pores in the inorganic mineral pore image according to the mineral pore triangular image chart.