33 results about "Petrophysical analysis" patented technology

Embodiments of systems, computer-implemented methods, and non-transitory computer-readable medium having one or more computer programs stored therein are provided to enhance borehole image analysis associated with a hydrocarbon reservoir. A neural network mapping process can first be performed, responsive to openhole log data and core data, to thereby generate a material-type scheme. Then, an image-based petrophysical analysis process can distribute and calibrate borehole image data, responsive to the core data and material-type scheme. Consequently, an approximated material type and an approximated grain size can be produced for each borehole image reading. The openhole log data, the core data, the material-type scheme, and the approximated material types and grain sizes, for example, can then be displayed to thereby increase consistency in categorizing subsurface material associated with hydrocarbon wells by material type and enhance interpretation of subsurface material texture, fabric, and features to predict subsurface material composition of the hydrocarbon reservoir.

The invention discloses a method for predicting reservoir stratums through seismic phase bodies. The method comprises the following steps that (1), a sampling area is analyzed, and by combination with a well-logging curve of the sampling area, classification and interpretation according to the types of seismic phases are conducted on rock stratums of the sampling area; (2), according to well-logging data of longitudinal waves and transverse waves above a well, a four-dimensional rock physics analysis template is built; (3), transverse coordinates and longitudinal coordinates in the four-dimensional rock physics analysis template in the step (2) are replaced, a new elastic impedance parameter analysis template is obtained, and according to the elastic impedance parameter analysis template, a judgment relation F2 between the types of the seismic phases and elastic impedance parameters is identified; (4), far angle and near angle offset radial elastic impedance parameters of a target area are inverted, and the types of seismic phases in the target area are identified through the F2. By means of the method for predicting the reservoir stratums through the seismic phase bodies, data of porosity need not to be inverted, and the purpose of predicting the high-quality reservoir stratums can be achieved.

The invention provides a decay signal decomposition method based on Q value difference reflection, comprising the following steps: selecting a first matching atom of a to-be-decomposed signal from an over-complete dictionary; decomposing the signal into a component on the first matching atom and a residual; iteratively decomposing the residual obtained through decomposition and judging the residual energy; and when the residual energy is less than a threshold, determining that decomposition is completed. Through the technical scheme, basis functions of a matching pursuit algorithm are constructed based on Q value difference reflection and a frequency domain seismic convolution model, and a decay seismic signal is decomposed using the set of basis functions, so that decay sub-signals of the seismic signal can be reconstructed to the maximum degree, a result of higher precision can be provided for subsequent rock physics analysis, decay parameter estimation or spectrum analysis, and the reliability and accuracy of reservoir oil-gas possibility prediction are improved.

The invention provides a method for identifying carbonate rock fluid based on a fuzzy C mean cluster in oil exploration. According to the method, chaotic quantum particle swarm optimization (CQPSO) and a fuzzy C mean (FCM) algorithm are organically bonded, chaotic particle swarm optimization is utilized to initialize a membership matrix, the problem that a traditional fuzzy C mean algorithm is sensitive to initialization can be effectively solved, high capability for searching global optimal solution is possessed, and fuzzy classification capability is remarkably improved. The method is introduced into carbonate rock fluid identification, the problem that rock physical analysis results and seismic inversion results are not matched due to frequency dispersion of seismic data can be effectively solved, and identification accuracy of the carbonate rock fluid is improved. Besides, by means of the method, probability of properties of various fluids can be calculated, evaluation on indeterminacy of fluid identification can be conducted so that exploration risks can be effectively reduced, and a new research thought for fully utilizing various prestack elastic information to achieve carbonate rock reservoir fluid identification is provided.

Disclosed is a high-temperature and high-pressure gas reservoir gas-containing sensitive curve reconstruction method. The method comprises the following steps of firstly, performing well-logging curveenvironment correction, then removing an abnormal value of the well-logging curve to obtain a standardized well-logging curve; then carrying out rock physical analysis on the high-temperature and high-pressure gas reservoir on the premise of the standard well-logging curve, and obtaining high-temperature and high-pressure gas reservoir gas-layer sensitive parameters, wherein the gas-layer sensitive parameters comprise a resistivity R curve and a natural gamma GR curve; converting the resistivity R curve into a speed v curve by utilizing an Faust formula; and next, calculating the mud contentVsh through the natural gamma GR curve, reconstructing a gas-containing sensitive curve S, establishing an initial model by utilizing the reconstructed gas-containing sensitive curve S, then carryingout seismic inversion, and carrying out prediction on a high-quality gas-containing reservoir. By adoption of the method, the high-temperature and high-pressure gas-containing reservoir fluid detection precision is guaranteed, and the fluid detection quality is really improved.

The invention discloses a method for analyzing the frequency domain anomaly of the underground medium in the work area. The method for analyzing the frequency domain anomaly of the underground medium in the work area is characterized in that it includes the following steps: through the petrophysical analysis of the logging data, the sandstone of the underground medium in the work area is distinguished Stratum and mudstone formation; through the time-frequency analysis algorithm, the frequency information data of the seismic data in the sandstone formation and mudstone formation of the work area are obtained; through the seismic wave attenuation feature extraction technology, the attenuation feature extraction is performed on the frequency information data, and the seismic data in the sandstone formation is obtained. and the frequency attenuation characteristic parameters of the mudstone formation; use the least square method to perform linear fitting or polynomial fitting on the attenuation characteristic parameters to obtain the attenuation trend line of the sandstone formation and the attenuation trend line of the mudstone formation; the attenuation trend line of the sandstone formation is the main , with the attenuation trend line of the mudstone formation as an attachment, the difference of the attenuation trend of the seismic data in the sandstone formation and the mudstone formation is analyzed.