The invention provides a continental facies clay shale reservoir stratum gas content prediction method and device and relates to the technical field of natural gas exploration. The method comprises the steps that logging data and a core sample of the continental facies clay shale reservoir stratum are obtained, and relevant parameters of the continental facies clay shale reservoir stratum are determined; then the total organic carbon volume fraction, the effective porosity, the water saturation, the continental facies clay shale reservoir stratum temperature and the pore pressure of the continental facies clay shale reservoir stratum are determined; then the adsorbed gas quantity of the continental facies clay shale reservoir stratum is determined according to an adsorbed gas quantity prediction model of the continental facies clay shale reservoir stratum; the free gas quantity of the continental facies clay shale reservoir stratum is determined according to a free gas quantity prediction model of the continental facies clay shale reservoir stratum; and accordingly the total gas content of the continental facies clay shale reservoir stratum is determined according to the adsorbed gas quantity of the continental facies clay shale reservoir stratum and the free gas quantity of the continental facies clay shale reservoir stratum. By the adoption of the continental facies clay shale reservoir stratum gas content prediction method and device, the problem that in the prior art, various factors affecting the adsorption capacity of shale are not sufficiently considered, and accordingly the current continental facies clay shale reservoir stratum gas content prediction is inaccurate can be solved.

Continental facies clay shale reservoir stratum gas content prediction method and device

The invention discloses a shale reservoir free gas content earthquake predicating method and a system thereof. The method comprises the steps of respectively acquiring work area elastic parameters andtime domain well logging data based on a work area pre-stack seismic data volume and depth domain well logging data; establishing a rock physical model based on the work area elastic parameters, andobtaining porosity and gas saturation; based on seismic data and ground temperature gradient, respectively acquiring a stratum pressure and a stratum temperature, and furthermore obtaining a volume coefficient; and based on the porosity, the gas saturation, the volume coefficient and the stratum pressure, establishing a calculation model of the free gas content, thereby obtaining the free gas content, wherein the work area elastic parameters comprise longitudinal wave impedance, transverse wave impedance and density. According to the shale reservoir free gas content earthquake predicating method and the system, through restraining the factors such as the stratum temperature, the stratum pressure, porosity and gas saturation, high-precision predication for free gas content of the shale reservoir is realized.

Shale gas reservoir free gas content earthquake predicating method and system thereof

The invention provides an earthquake prediction method for petroleum-rich layer sections. The method comprises the steps that sensitive attributes with good recognition capability to the petroleum-rich layer sections are acquired through single well and connected well attribute analysis; the sensitive attributes are subjected to attribute fusion, and a fusion attribute capable of better reflecting a petroleum layer is acquired; the fusion attribute under different time windows of a layered section is compared with the thickness of the petroleum layer of each well, and the distinguishable formation thickness of each layer section is acquired; forward modeling is carried out on petroleum layer parameters of each layer section, and the threshold value of the petroleum layer parameters of each layer section is acquired; the distinguishable formation thickness of each layer section and the threshold value of the petroleum layer parameters of each layer section are combined, and all the petroleum-rich layer sections are determined; the fusion attribute and the petroleum layer parameters of each layer section are joined, and a detecting attribute response relationship gauge of petroleum layer sets of each layer section is acquired; the relationship gauges are utilized for detecting all the layer sections, and distribution of the petroleum-rich layer sections on the profile and plane is acquired.

Earthquake prediction method for petroleum-rich layer sections

The method discloses a method of using seismic data to carry out mud shale gas content prediction. The method comprises the following steps of (1) measuring data, wherein geological data includes well logging, gas testing and mud shale core gas content testing data; logging data includes interval transit time, a density and a gas content logging interpretation curve passing through a core gas content testing data scale; and seismic data includes seismic materials of conventional post-stack or prestack offset processing; (2) using high correlation of a density logging curve and mud shale gas content data to establish a gas content calculating model based on the density logging curve, wherein the model satisfies the following equation: VGAS=f (DEN) (1); the VGAS is a gas content, m/t; the DEN is the density logging curve, g/cm; and f is a function equation between the gas content and the density; (3) carrying out post-stack multi-attribute inversion and acquiring a density curve data volume required by the gas content calculating model; and (4) carrying out gas content prediction: substituting the density curve data volume acquired from the step (3) into the equation (1) to acquire a mud shale gas content.

Method of using seismic data to carry out mud shale gas content prediction

The invention discloses a shale thickness prediction method and a system based on the pure longitudinal wave and pseudo-acoustic wave inversion. The method can comprise the following steps of: performing amplitude-preserved processing on the seismic data to obtain a common reflection point gather; obtaining the pure longitudinal wave data based on the common reflection point gather; obtaining thepseudo-acoustic wave impedance data based on an acoustic wave well logging curve and a density well logging curve; and obtaining the pseudo-longitudinal wave impedance data body based on the pure longitudinal wave data and the pseudo-acoustic wave impedance data, and predicting the shale thickness. According to the shale thickness prediction method based on the pure longitudinal wave and pseudo-acoustic wave inversion, the pseudo-acoustic wave impedance data body is constructed by combining the information of the acoustic wave impedance curve and the density well logging curve, and the accuracy for predicting the shale distribution range is improved.

Shale thickness prediction method and system based on pure longitudinal wave and pseudo-acoustic wave inversion

The invention provides a method for predicting gas content of shale by using seismic data and belongs to the petroleum and natural gas exploration field. The method includes the following steps that: (1) geological, logging and seismic data are prepared; (2) a density logging curve-based gas content calculation model, that is VGAS=f(DEN) (1), is established through using high correlation between a density logging curve and shale gas content data, wherein VGAS is gas content, m /t, DEN is a density logging curve, g/cm , and f is a function relational expression between gas content and density; (3) post stack multi-attribute inversion is carried out, so that density curve data required by the gas content calculation model can be obtained; and (4) gas content prediction is carried out: the density curve data obtained in the step (3) are introduced into the formula (1), so that the gas content of the shale can be obtained.

Method for predicting gas content of shale by using seismic data

The invention provides a shale total organic carbon content earthquake prediction method, and belongs to the field of petroleum and natural gas exploration. The method includes the steps of: (1) preparing geological, well logging and seismic data; (2) making a statistical analysis of shale core total organic carbon content geochemical analysis test data, well logging curves and rock elasticity parameter curves, and preferably selecting a well logging curve or rock elasticity parameter curve that has a high degree of correlation with total organic carbon content test data content to establish a total organic carbon content calculation model; (3) utilizing a seismic inversion technology to obtain a curve inversion data body required by the total organic carbon content calculation model; and (4) calculating a shale total organic carbon content data body based on the total organic carbon content calculation model in Step (2) and the curve inversion data body in Step (3).

Shale total organic carbon content earthquake prediction method

The invention discloses a method and system for crack prediction based on Fourier series expansion of azimuth elastic impedance. The method comprises the steps of obtaining an angle gather containingazimuth angle information according to an original gather; performing angle division on the angle gather according to the azimuth angle and the incidence angle to obtain partially superimposed seismicdata of different azimuth angles and incidence angles; calculating an azimuth elastic impedance curve corresponding to the partially superimposed seismic data according to the longitudinal wave speed, the transverse wave speed, the density and the anisotropy information of the logging; carrying out forward modeling according to the azimuth elastic impedance curve, performing matching calibrationwith the corresponding partially superimposed seismic data, extracting seismic wavelets, and establishing an elastic impedance model; and calculating an azimuth elastic impedance body according to thepartially superimposed seismic data, the elastic impedance model and the seismic wavelets, and performing Fourier series expansion to realize crack prediction. According to the invention, pre-stack small-scale cracks are predicted through Fourier series expansion of the azimuth elastic impedance, and the stability and precision of crack prediction are improved.

Method and system for crack prediction based on Fourier series expansion of azimuth elastic impedance

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Method for predicting gas content of shale by using seismic data

Shale total organic carbon content earthquake prediction method

Method and system for crack prediction based on Fourier series expansion of azimuth elastic impedance