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 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.

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 discloses a method for identifying a lithologic reservoir under strong impedance shielding by applying a wavelet decomposition and reconstruction technology, and belongs to the technical field of reservoir prediction. The method comprises the steps of firstly performing synthetic record production on a drilled well within a block, and completing fine reservoir calibration; implementing drilled well conditions such as the reservoir thickness under strong impedance shielding, simulating seismic reflection generated by a target reservoir and lithological combinations above the below the target reservoir by applying a desanding test based on petrophysical analysis, and analyzing geologic structure features reflected by a strong impedance reflection event according to characteristics of a generated seismic response; then screening wavelets, optimizing parameters to reconstruct a new seismic channel, and acquiring a seismic data volume after decomposition and reconstruction of the wavelets; and performing horizon tracing interpretation on the basis, extracting various attributes such as the horizon-oriented amplitude, and completing reservoir prediction. The method solves a problem of reservoir prediction under seismic strong wave impedance shielding by applying a wavelet decomposition and reconstruction technology, and provides a basis for identification, exploration and development deployment for the kind of lithologic reservoirs.

The invention discloses a geothermal resource electromagnetic temperature inversion method and a system based on rock physical. The method comprises the following steps of: analyzing influences of thermal storage factors on a thermal storage temperature, obtaining effective thermal storage factors, and dividing a plurality of effective thermal storage factor bands; obtaining a relational expression between the thermal storage factor and the heat storage temperature corresponding to each effective thermal storage factor band based on geological geophysical parameters and geochemical parametersof a target region thermal storage volume and through an intersection analysis of logging temperature measurement, acoustic wave velocity, and resistivity; calculating a parameter in the relational expression corresponding to each effective thermal storage factor band based on logging temperature measurement, acoustic wave velocity, and resistivity; and obtaining a final relational expression corresponding to each effective thermal storage factor band based on the relational expression corresponding to each effective thermal storage factor band and a ground temperature gradient, and carrying out electromagnetic temperature inversion on each effective thermal storage factor band. A relational expression is established through high-temperature and high-pressure rock physical analysis, and the calculation result is more reliable and accurate based on the constraint operation of geological data such as the logging temperature measurement and the ground temperature gradient.

The present invention provides a method for decomposing an attenuated signal based on Q value difference reflection, the method comprising: selecting the first matching atom of the signal to be decomposed from an over-complete library; decomposing the signal into the first matching atom on the first matching atom The component and the residual are two parts; iteratively decomposing the decomposed residual and judging the residual energy; and when the participating energy is less than a threshold value, it is determined that the decomposition is completed. Through the above technical solution, the basis functions of the matching pursuit algorithm are constructed based on the Q-value difference reflection and the frequency domain seismic convolution model, and the attenuation seismic signal is decomposed with this set of basis functions, so that the attenuation sub-signal of the seismic signal can be reconstructed to the maximum extent. It can provide more accurate results for subsequent petrophysical analysis, attenuation parameter estimation or spectrum analysis, thereby improving the reliability and accuracy of reservoir oil and gas prediction.

The invention provides a method and system for identifying the type and the content of a clay mineral based on petrophysical analysis. The method comprises the steps of: statistically analyzing the type and the content of the clay mineral in a core sample; performing ultrasonic elastic parameter testing on the core sample; performing intersection analysis based on a clay mineral type and content analysis result and an ultrasonic elastic parameter test result; and constructing a sensitive indication factor for measuring the sensitive degree of petrophysical parameters onto the type and the content of the clay mineral. According to the method and the system provided by the invention, starting from the type and the content of the clay mineral of a real test sample of a laboratory, in combination with elastic parameter test data, the sensitive indication factor is constructed, so that difference in relative variation of seismic attributes when types and contents of different clay mineralsare represented is quantified; and thus, sensitive elastic parameters are optimized. Theoretical basis is provided for predicting the type and the content of the clay mineral by utilization of a geophysical method.

The invention discloses a method and device for judging a reservoir fluid trend and a compaction trend. The method for judging the reservoir fluid trend and the compaction trend comprises the steps of: obtaining a pre-stack seismic gather of a target region, obtaining a longitudinal wave speed, a transverse wave speed and a density data volume according to the pre-stack seismic gather of the target region, utilizing the longitudinal wave speed, the transverse wave speed and the density data volume to obtain a pseudo attenuation attribute volume, obtaining an orthogonal attribute factor expression based on a rotation angle as a parameter according to the pseudo attenuation attribute volume, obtaining a rotation angle value based on rock physical analysis, and substituting the rotation anglevalue into the orthogonal attribute factor expression to obtain a corresponding orthogonal attribute factor, and judging a reservoir fluid trend and a compaction trend based on the orthogonal attribute factors.

The invention relates to a seismic data inversion method, device and apparatus. According to the method of the invention, an l2 norm constraint-based elastic impedance inversion optimization model isbuilt; an optimal regular parameter is determined by means of a threshold filtering factor and an L-curve criterion, and then, the Tikhonov filtering factor is adopted to solve the minimum solution ofthe optimization model, and therefore, calculation accuracy and the stability of the solution can be effectively improved; the algorithm is tested by a low signal noise ratio theoretical model and actual seismic data; the inversion result of the low signal noise ratio theoretical model is basically consistent with a model forward modeling condition; an actual seismic data-based elastic impedanceinversion result is consistent with a rock physics analysis result in a region; and therefore, the prediction result of further obtained brittleness index distribution is also matched with a borehole.The algorithm has the advantages of high stability, noise resistance, and bright prospect of practical application.

The invention provides a method and a device for detecting gas bearing capacity of a reservoir. The method for detecting gas bearing capacity of a reservoir comprises the following steps: (1) acquiring logging data and seismic data; (2) constructing a rock physical analysis quantity plate based on the logging data; (3) fitting a water-containing sandstone linear trend line based on the rock physical analysis quantity plate; (4) constructing a gas-containing sandstone prediction factor based on the rock physical analysis quantity plate and the water-containing sandstone linear trend line; (5) substituting the seismic data into a calculation formula of a gas-bearing sandstone prediction factor to obtain a gas-bearing sandstone prediction factor seismic data volume; and (6) carrying out reservoir gas-bearing property detection based on the gas-bearing sandstone predictor seismic data volume. According to the method, the multiplicity of solutions of reservoir prediction can be reduced, andthe exploration and development precision is improved.

The invention provides a gas saturation prediction method and device. The method comprises steps of through seismic channel analysis, carrying out screening to obtain seismic attributes of at least one gas saturation sensitivity; through rock physical analysis, carrying out screening to obtain elastic parameters of at least one gas saturation sensitivity; and based on the construction relation between a gas saturation sensitivity model, the elastic parameters and the seismic attributes, by use of the seismic attributes of at least one gas saturation sensitivity, and the elastic parameters of at least one gas saturation sensitivity, carrying out gas saturation prediction on a to-be-predicted reservoir. According to the invention, accuracy of the gas saturation prediction can be improved.