Method and system for well-seismic joint evaluation of filling characteristics of deep paleokarst reservoirs
A combined well-seismic and karst technology, applied in seismology, seismology, and seismic signal processing for logging records, can solve the problem of poor prediction accuracy of deep paleokarst reservoirs, strong lateral prediction randomness, and complex description data. and other problems to achieve the effect of improving the accuracy
Active Publication Date: 2022-04-01
INST OF GEOLOGY & GEOPHYSICS CHINESE ACAD OF SCI
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[0006] In order to solve the current technical problem of evaluating the filling characteristics of deep paleokarst reservoirs, the existing analysis methods for the filling characteristics of cave-type reservoirs in oil exploration only use geological data as constraints on the stochastic simulation conclusions, and do not consider the impact of seismic information on well logging samples. The optimal contribution, and the use of all logging characteristic parameters to describe the reservoir data is too complicated, resulting in the inversion results being directly controlled by interwell interpolation in the high-frequency band, and the randomness of the lateral prediction is strong. Poor Prediction Accuracy of Deep Paleokarst Reservoirs
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[0188] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.
[0189] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.
[0190] The invention makes full use of well logging and seismic data, adopts machine learning algorithm, takes waveform indication simulation method as the core, and uses principal component analysis algorithm (PCA algorithm) to establish sensitive parameters, so as to realize accura...
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The invention belongs to the field of data identification and recording carrier processing, and specifically relates to a method and system for evaluating the filling characteristics of deep ancient karst reservoirs in combination with well and seismic, aiming to solve the problem that the existing oil exploration technology cannot predict the reservoirs with fast lateral changes 1. It is impossible to identify the development characteristics of carbonate cavern reservoirs in complex basins in a large scale. The invention includes: obtaining standardized logging curve data; obtaining high-precision three-dimensional seismic amplitude data volume through mixed-phase wavelet deconvolution and diffusion filtering; analyzing and reducing the dimensionality of the characteristic parameters sensitive to reservoirs through PCA method , to obtain the first set of PCA data; to calculate the structural characteristics of fracture-cavity reservoirs; to obtain the spatial distribution of paleokarst caves and the development characteristics of cave internal fillings with different filling types through intersection analysis by interpreting the conclusion threshold. The invention achieves the effect of identifying the development characteristics of carbonate rock karst cave reservoirs in complex basins in a large range and improves the accuracy of description.
Description
technical field [0001] The invention belongs to the field of data identification and recording carrier processing, and in particular relates to a method and system for well-seismic joint evaluation of filling characteristics of deep ancient karst reservoirs. Background technique [0002] Deep oil and gas basins (burial depth exceeding 4500m) contain rich oil and gas resources, and have become an important field of exploration in the petroleum industry. Carbonate reservoirs account for 52% of the world's proven oil reserves and 60% of production, and are the main target of deep oil and gas exploration. [0003] Paleokarst reservoirs are more heterogeneous due to the complex lithology, variable diagenesis, and random fractures of carbonate rocks. Sparse logging curves have high vertical resolution and can only reflect stratigraphic information at a limited depth near the wellbore (generally less than 10m), and paleokarst reservoirs far away from the wellbore still have great ...
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IPC IPC(8): G01V1/50G01V1/30
CPCG01V1/50G01V1/307G01V1/302G01V5/12G01V1/46G01V1/48G01V1/306G01V1/364G01V1/282G01V11/00G01V2210/6169G01V2210/624G01V2210/63G01V2210/665G01V2210/641G01V1/325G01V2210/6226G01V2210/614
Inventor 田飞张江云底青云郑文浩王中兴杨永友张文秀
Owner INST OF GEOLOGY & GEOPHYSICS CHINESE ACAD OF SCI