6 results about "Grain density" patented technology

The invention relates to a shale expansion rate calculation method, and belongs to the technical field of shale oil and gas development. The method comprises the following specific steps: carrying out shale linear expansion rate determination experiments at different soaking times, and calculating the expansion rate value of a shale sample; obtaining the TOC content, the quartz and clay mineral content, the porosity value and the particle density value of the shale sample; establishing a shale expansion rate calculation model by taking the linear expansion rate as a dependent variable, taking the TOC content, the quartz content, the clay mineral content, the porosity and the particle density as independent variables and adopting a multiple linear regression method; and establishing a shale expansion rate calculation model based on different soaking times. According to the method, a shale expansion rate calculation model is established through multiple shale expansion rate sensitive parameters by adopting a multiple linear regression method, and the method has the effects of being simple, economical, practical, scientific and effective.

The application discloses a shale conductivity calculation method, and belongs to the technical field of shale oil and gas development.The method comprises the following steps: carrying out a proppant embedding test on a shale sample under different closing pressure conditions to calculate a shale conductivity value; carrying out a mineral content determination experiment to obtain the quartz and clay mineral content of the sample; carrying out a porosity determination experiment to obtain the porosity value of the shale sample; carrying out a particle density determination experiment to obtain the particle density value of the shale sample; carrying out a rock scratch experiment to obtain the compressive strength value of the shale sample; taking the shale conductivity as a dependent variable, taking the quartz content, clay content, particle density, porosity and compressive strength as independent variables, and adopting a multiple linear regression method to establish a shale conductivity calculation model.The method is simple, economical, practical, scientific and effective, and can guide the evaluation of the fracturing effect of a shale oil and gas reservoir on site by optimizing a plurality of shale conductivity sensitive parameters and adopting the multiple linear regression method to establish the shale conductivity calculation model.

A shale flow conductivity calculation method belongs to the technical field of shale oil and gas development, and comprises the following steps: carrying out proppant embedding tests on a shale sample under different closing pressure conditions, and calculating a shale flow conductivity value; carrying out a mineral content determination experiment to obtain the contents of quartz and clay minerals in the sample; carrying out a porosity determination experiment to obtain the porosity value of the shale sample; carrying out a particle density determination experiment to obtain a shale sample particle density value; carrying out a rock scratch experiment to obtain a compressive strength value of the shale sample; the shale flow conductivity is used as a dependent variable, the quartz content, the clay content, the particle density, the porosity and the compressive strength are used as independent variables, and a multiple linear regression method is adopted to establish a shale flow conductivity calculation model. According to the method, multiple shale flow conductivity sensitive parameters are optimized, the multiple linear regression method is adopted, the shale flow conductivity calculation model is established, on-site shale oil and gas reservoir fracturing effect evaluation is guided, and the method is simple, economical, practical, scientific and effective.

This invention belongs to the field of paleogeographic restoration technology in geological exploration, and discloses a method and system for river paleoslope restoration based on the combined use of well and seismic data. The method determines the underwater specific gravity based on sediment mineral composition; determines the ratio of surface friction shear velocity to particle settling velocity based on median grain size; calculates dimensionless grain size, settling velocity, and particle Reynolds number based on grain density, fluid density, grain diameter, and kinematic viscosity; obtains the point dam thickness from well logging curves, and obtains the initial full-bank depth after decompaction correction; obtains the paleochannel width from seismic data, corrects the initial full-bank depth, and obtains the full-bank depth of the river channel; and calculates the river paleoslope based on underwater specific gravity, median grain size, full-bank depth of the river channel, the aforementioned ratio, and dimensionless parameters. This invention achieves quantitative calculation of deep-time river paleoslope, significantly improving the accuracy and reliability of the assessment, and solving the problems of traditional methods relying on qualitative reconstruction, difficulty in data acquisition, and high computational costs.

Techniques for determining a geologic property of a rock sample include (i) measuring, using nuclear magnetic resonance (NMR), a volume of a fluid retained within a solid matrix of a processed rock sample; (ii) measuring, using a gas porosimeter, a volume of gas space of the processed rock sample; (iii) measuring, with an Archimedes assembly, a first mass value in air of the processed rock sample and a second mass value in a liquid of the processed rock sample; and (iv) determining, based at least on the measured volume of the fluid, the measured volume of the gas space, and the measured first and second mass values, at least one of a bulk volume, a bulk density, a grain density, or a porosity of the processed rock sample.

Methods and systems for updating a well plan for a planned well using a hyperspectral image of a well core obtained from the planned well. The method includes determining a distribution of mineral abundances for a plurality of minerals across the well core using the hyperspectral image and determining an image-derived distribution of grain density from the distribution of mineral abundances. The method further includes calibrating the image-derived distribution of grain density to obtain a calibrated distribution of grain density and determining a vertical profile of grain density across the well core using the calibrated distribution of grain density. In addition, the method includes determining a total porosity of the planned well using the vertical profile of grain density and updating using a well planning system, a portion of the planned well based on the total porosity.