CN-121995447-A - Complex river geological modeling method based on automatic multi-object source direction pickup

CN121995447ACN 121995447 ACN121995447 ACN 121995447ACN-121995447-A

Abstract

The invention discloses a complex river channel geological modeling method based on automatic picking of multiple object source directions, which belongs to the technical field of oil and gas exploration and development and comprises the following steps of S1, obtaining river channel plane and longitudinal distribution characteristics, S2, establishing three-dimensional space distribution models of river channel bodies of different periods, processing boundary data of the river channels of different periods, S3, calling azimuth data to establish sand distribution models in the river channels of different periods, S4, dividing single-well reservoir types, establishing reservoir type distribution models in the river channels of different periods, S5, discretizing a single-well porosity curve, calling azimuth data to establish porosity models in the reservoir types of different periods, and establishing permeability models in the reservoir types of different periods. The river channel sand body and physical property parameter model established by the invention truly reproduces the situation that the physical property distribution of the reservoir is controlled by the river flow direction variable material source, is suitable for scenes with large work areas and complex river channel distribution, and can improve modeling timeliness and accuracy.

Inventors

HUANG TINGTING
LI HONGXI
LI YUNZHU
WANG QIANG
CHEN MINGJIANG
LI ZHUZHENG
ZHANG LI
ZHANG XIAODONG
WU DEFENG

Assignees

中国石油天然气集团有限公司
中国石油集团川庆钻探工程有限公司

Dates

Publication Date: 20260508
Application Date: 20241105

Claims (10)

1. A complex river channel geological modeling method based on automatic multi-object source direction picking is characterized by comprising the following steps: S1, describing river boundaries of different periods by using seismic attributes and logging data, correcting the river range of seismic interpretation, enabling the river range of seismic interpretation to be consistent with the river range of real well drilling interpretation, inputting the river boundary data of different periods into geological modeling software, and obtaining river plane and longitudinal distribution characteristics; S2, establishing three-dimensional space distribution models of river channel bodies of different periods, and processing boundary data of the river channel of different periods; s3, under a three-dimensional space distribution model of the river channel body, based on a single well sand group identification result, taking the extracted seismic attribute as a trend constraint, and calling azimuth angle data to establish sand body distribution models in different stages of river channels; S4, dividing single-well reservoir types, performing discretization sampling on a single-well reservoir type curve, and establishing reservoir type distribution models in different periods of river channels; S5, discretizing the single well porosity curve, calling azimuth angle data to establish a porosity model under different reservoir types under reservoir type phase control, and finally establishing a permeability model under different reservoir types by utilizing the relation between the permeability and the porosity.
2. The method for modeling the geology of the complex river channel based on the automatic multi-source picking direction of claim 1, wherein in S1, the description of the boundary of the river channel in different periods is based on the observation of core and thin slices of a coring well, the combination of logging curves and sedimentary characteristic analysis, the division of the sedimentary period of a single-well river channel, the combination of the earthquake attribute response characteristic analysis, and the description of the plane distribution map of the river channel in each period and the top and bottom surfaces of the river channel.
3. The method for modeling complex river geology based on automatically picking up multiple source directions according to claim 1, wherein in S1, correcting the river course range of the seismic interpretation means picking up the top and bottom positions of the real drilling river course, correcting the top and bottom surfaces of the river course of the seismic interpretation by combining the seismic root mean square amplitude attribute as a thickness trend, and correcting the top and bottom surfaces of the river course of the seismic interpretation to be consistent with the top surface position of the real drilling river course.
4. The method for modeling complex river geology based on automatically picking up multiple object source directions according to claim 1, wherein in S2, processing of river boundary data of different periods means automatic picking up through river directions.
5. The method for modeling complex river geology based on automatically picking up multiple object source directions according to claim 4, wherein the automatic river direction picking up means specifically obtaining azimuth straight line segments of river water flow direction distribution, converting the straight line segments into azimuth angles through plane drawing, and interpolating to form face data representing azimuth angles, wherein the face data is used as azimuth angle data during modeling.
6. The complex river geological modeling method based on automatic multi-source direction pickup of claim 1, wherein in S3, the single-well sand group identification result is sand discrete data of single-well identification.
7. The method for modeling complex river geology based on automatically picking up multiple object source directions according to claim 1, wherein in S4, dividing single well reservoir types refers to determining reservoir types by integrating lithology types, physical characteristics and pore throat sizes.
8. The method for geologic modeling of a complex river based on automatically picking up multiple source directions according to claim 1, wherein in S4, establishing reservoir type distribution models in different periods of river is to take extracted seismic attributes as trend surface constraints under a sand body distribution model, and call azimuth data random modeling.
9. The method for modeling complex river geology based on automatically picking up multiple object source directions according to claim 1, wherein in S5, the step of calling azimuth data to build a porosity model under different reservoir types is to simulate the porosity as a first variable and the porosity inversion result as a second variable through sequential Gaussian simulation.
10. The method for modeling complex river geology based on automatically picking up multiple object source directions according to claim 1, wherein in S5, the method for establishing permeability models under different reservoir types by utilizing the relation between permeability and porosity is characterized in that the established porosity models are used as second variable constraints of the permeability models, and sequential Gaussian simulation is adopted.

Description

Complex river geological modeling method based on automatic multi-object source direction pickup Technical Field The invention relates to the technical field of oil and gas exploration and development, in particular to a complex river geological modeling method based on automatic pickup of multiple object source directions. Background The method is characterized in that the longitudinal multi-stage riverways of the curtret river or the plait river compact sandstone reservoir are overlapped, the physical distribution is complex, the non-uniformity is strong, and how to accurately simulate the compact sandstone reservoir spread in the complex riverway is a core content of the research in the oil reservoir development stage, and is also a direct basis of the geological basis of the oil reservoir comprehensive evaluation, the necessary parameters of the oil reservoir numerical simulation and the oil reservoir development adjustment scheme. The domestic geologic modeling method for the treble river is generally based on a conventional geologic statistics method for modeling research, and the trend of the attribute data distribution has close relation with the variation function. However, in the area where a curveflow or a plait river is deposited, the multiple changes and redirection of the river channel make it difficult to control the direction of constraint data with a conventional variation function. In the geologic modeling process, the traditional geologic statistics mainly depends on a variation function model of a given object source direction to determine related parameters when random simulation is carried out, and the main object source direction not only controls the azimuth angle of the variation function, but also controls the overall pattern of the model, and whether the accuracy of the model directly influences the accuracy of the simulation. In the actual geological deposition process, most deposition systems are formed by accumulating multi-source or variable-source sediments, one source direction is firstly set when the internal structure and physical property distribution simulation of the reservoir is carried out in the traditional geological modeling, sand bodies and physical property distribution characteristics of each reservoir are simulated under the control of a single source, but for the multi-source sediments, particularly complex curvelet or plait river deposition and high-camber water channel water flow direction can change along with the water flow line at any time, the single source control can not accurately reflect the change of the sand bodies and the physical property of the reservoir, and the requirement of simulation precision can not be met only by setting the single source direction in the geological modeling process of the reservoir. The method comprises the steps of dividing a research area into a plurality of blocks by adding trend lines as partition lines, setting variation functions for different blocks by utilizing a grid filtering function, setting independent azimuth angles and variation functions for each block by utilizing a grid filtering function so as to simulate reservoir distribution under the condition of a plurality of sources, and manually drawing azimuth angle lines according to the directions of the sources, establishing a profile of azimuth angle distribution, and simulating different azimuth angles at different positions. The first method is applicable to the situation that the number of sediments is small, one sediments corresponds to a set of independent data analysis and random interpolation simulation process, but the sand bodies simulated by the method are basically separated and are not overlapped in a crossing manner, the problem of sand body connectivity among different sediments is ignored in the modeling process, and meanwhile, when the variation of the deflection of the river channel in a work area is fast, the river channel distribution is large, a large number of artificial partitions are faced by the method, and the method is obviously inapplicable. The second method adopts the same set of variation function for the work area, ensures connectivity among sand bodies, and simultaneously reflects control of different material source directions on sand body distribution. However, when aiming at complex curved-stream rivers or braided-river channels, on one hand, the types of the river channels are more, the scale difference is larger, the shape is changeable, the manual drawing of the direction of the object source is larger, the polynary is stronger, and on the other hand, when the working area is larger and the number of the river channels is larger, the manual drawing of the direction of the object source is lower in timeliness, and the quick, accurate, efficient and intelligent picking of accurate azimuth information in each curve of different types of river channels cannot be realized. The Chinese patent document with publication numbe