CN105205239A - Method and device for modeling reservoir physical property parameter - Google Patents
Method and device for modeling reservoir physical property parameter Download PDFInfo
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- CN105205239A CN105205239A CN201510581479.7A CN201510581479A CN105205239A CN 105205239 A CN105205239 A CN 105205239A CN 201510581479 A CN201510581479 A CN 201510581479A CN 105205239 A CN105205239 A CN 105205239A
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Abstract
The invention discloses a method and a device for modeling a reservoir physical property parameter. The method comprises the following steps: firstly, constructing a three-dimensional sedimentary facies model of a reservoir, and establishing a three-dimensional reservoir petrophysical facies model under the restriction of the three-dimensional sedimentary facies model; secondly, establishing a three-dimensional reservoir physical property parameter model under the restriction of the three-dimensional reservoir petrophysical facies model. Compared with the prior art, the method and the device have the advantages that when a reservoir petrophysical property parameter model is constructed, sedimentary facies restriction is considered, and the influence of reservoir petrophysical facies is also considered, so that a modeling result can reflect a combined action of a reservoir sedimentation action, a diagenesis action and a later-stage construction action, thereby improving the modeling accuracy of the reservoir physical property parameter.
Description
Technical field
The application relates to petroleum exploration field, more particularly, relates to a kind of reservoir physical parameter modeling method and device.
Background technology
When being described oil reservoir, its core sets up reservoir physical parameter model.Reservoir physical parameter modeling both can be exploration and provided priori physical property infomation, also can be oil reservoir development simulation and initial physical property model is provided, its address model finally set up is used to the 3-D data volume representing memory address feature space spread and each property parameters, and the output display by software is spatial image.
Current modeling method sets up geologic model under sedimentary facies constraint, tectonic model, sedimentary facies model and parameter models of physical should be set up successively, owing to not considering the impact of the relative modeling of reservoir physics in prior art, the description precision of thus set up reservoir physical parameter model to oil reservoir is low.
Summary of the invention
In view of this, the application provides a kind of reservoir physical parameter modeling method and device, under sedimentary facies constraint and high water cut constraint, set up reservoir physical parameter model, to improve the description precision of reservoir physical parameter model to oil reservoir.
To achieve these goals, the existing scheme proposed is as follows:
A kind of reservoir physical parameter modeling method, comprising:
Build the three-dimensional sedimentary facies model of reservoir;
Under the constraint of described three-dimensional sedimentary facies model, based on the multiple individual well reservoir rock physics phase models built in advance, set up three-dimensional reservoir high water cut model;
Under the constraint of described three-dimensional reservoir high water cut model, based on the multiple individual well parameter models of physical built in advance, set up three-dimensional reservoir parameter models of physical.
Preferably, the three-dimensional sedimentary facies model of described structure reservoir, comprising:
Obtain seismic interpretation information and geological layering information;
According to described seismic interpretation information and described geological layering information architecture three-dimensional structure model;
Based on described three-dimensional structure model, set up three-dimensional sedimentary facies model.
Preferably, described under the constraint of described three-dimensional sedimentary facies model, based on building multiple individual well reservoir rock physics phase model in advance, before setting up three-dimensional reservoir high water cut model, also comprise: according to log analysis data, build multiple individual well reservoir rock physics phase model.
Preferably, described under the constraint of described three-dimensional reservoir high water cut model, based on the multiple individual well parameter models of physical built in advance, before setting up three-dimensional reservoir parameter models of physical, also comprise: according to log analysis data, build multiple individual well parameter models of physical.
Preferably, the three-dimensional sedimentary facies model of described structure reservoir comprises: utilize sequential Gaussian simulation technology to set up described three-dimensional reservoir high water cut model.
Preferably, described structure multiple individual well reservoir rock physics phase model comprises: the Clustering Analysis Technology based on neural network builds multiple individual well reservoir rock physics phase model.
Preferably, described under the constraint of described three-dimensional sedimentary facies model, based on the multiple individual well reservoir rock physics phase models built in advance, set up three-dimensional reservoir high water cut model, comprising:
Adopt sequential Gaussian simulation technology under the constraint of described three-dimensional sedimentary facies model, based on the multiple individual well reservoir rock physics phase models built in advance, set up three-dimensional reservoir high water cut model.
Preferably, described under the constraint of described three-dimensional reservoir high water cut model, based on the multiple individual well parameter models of physical built in advance, set up three-dimensional reservoir parameter models of physical, comprising:
Adopt sequential Gaussian simulation technology under the constraint of described three-dimensional reservoir high water cut model, based on the multiple individual well parameter models of physical built in advance, set up three-dimensional reservoir parameter models of physical.
A kind of reservoir physical parameter model modeling device, comprising:
Three-dimensional sedimentary facies model construction unit, for building the three-dimensional sedimentary facies model of reservoir;
Three-dimensional reservoir high water cut model construction unit, under the constraint of described three-dimensional sedimentary facies model, based on the multiple individual well reservoir rock physics phase models built in advance, sets up three-dimensional reservoir high water cut model;
Three-dimensional reservoir parameter models of physical construction unit, under the constraint of described three-dimensional reservoir high water cut model, based on the multiple individual well parameter models of physical built in advance, sets up three-dimensional reservoir parameter models of physical.
Preferably, described three-dimensional sedimentary facies model construction unit comprises:
Information acquisition subelement, for obtaining seismic interpretation information and geological layering information;
Three-dimensional structure model construction subelement, for according to described seismic interpretation information and described geological layering information architecture three-dimensional structure model;
Three-dimensional sedimentary facies model construction subelement, for based on described three-dimensional structure model, sets up three-dimensional sedimentary facies model.
Through as shown from the above technical solution, the invention discloses a kind of reservoir physical parameter modeling method and device.First the method builds the three-dimensional sedimentary facies model of reservoir, and under the constraint of three-dimensional sedimentary facies model, sets up three-dimensional reservoir high water cut model.And then, under the constraint of three-dimensional reservoir high water cut model, set up three-dimensional reservoir parameter models of physical.Compared with prior art, the present invention is when building reservoir rock parameter models of physical, not only consider that sedimentary facies retrains, also contemplate the impact of reservoir rock physics phase, make modeling result can embody the combined action of deposition, Diagn and later structural effect, thus improve the description precision of reservoir physical parameter model to oil reservoir.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
Fig. 1 shows the schematic flow sheet of a kind of reservoir physical parameter modeling method disclosed in one embodiment of the invention;
Fig. 2 shows the schematic flow sheet of a kind of reservoir physical parameter model building device disclosed in another embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
A kind of reservoir physical parameter modeling method schematic flow sheet disclosed in one embodiment of the invention is shown see Fig. 1.
In the present embodiment, the method comprises:
S101: the three-dimensional sedimentary facies model building reservoir.
The building process of this three-dimensional sedimentary facies model is specific as follows:
Obtain seismic interpretation information and geological layering information.Using obtained seismic interpretation information and geological layering information as input data, set up FEM layer model and the FAULT MODEL of reservoir.Namely FEM layer model and FAULT MODEL obtain the tectonic model of reservoir after setting up, the basis of tectonic model is set up the three-dimensional sedimentary facies model of reservoir.
Optionally, this three-dimensional sedimentary facies model can be obtained by stochastic simulation technology or deterministic simulation technical method.Wherein, the stochastic modeling method of three-dimensional sedimentary facies model mainly contains and blocks Gauss, marked point process, instruction simulation, sequential Gaussian simulation technology etc.If well pattern very close and single well data in work area enriches, then the method for Decided modelling can be utilized to simulate the three-dimensional sedimentary facies model of reservoir.In Decided modelling method, the foundation of three-dimensional sedimentation model is mainly through the deposition characteristics in the observation and analysis work area of core hole rock core, utilize spontaneous potential or the response characteristic different in each sedimentary facies of Natural Gamma-ray Logging Curves, the parameters such as the thickness of quantitative statistics sand body trend and synsedimentary sand body, set up the sedimentary facies one dimension well model in work area, then, the sedimentary facies planimetric map after digitizing corrects, utilizes assignment method to carry out the three-dimensional facies modelization of determinacy.
S102: under the constraint of described three-dimensional sedimentary facies model, based on the multiple individual well reservoir rock physics phase models built in advance, sets up three-dimensional reservoir high water cut model.
It should be noted that, needed to build multiple individual well high water cut model according to log analysis data in advance before execution step S102.The method of current study of rocks physics phase mainly contains method of superposition, method of weighted mean, correspondence analysis, THE PRINCIPAL FACTOR ANALYSIS method.
Method of superposition refers to and sedimentary micro, Diagenetic Facies, crack phase-plane diagram is superposed, and occurs simultaneously as high water cut classification foundation using it.Method of weighted mean calculates rock physics facies type (PF) according to selected synthetic evaluation function, carries out high water cut division according to PF.Correspondence analysis and THE PRINCIPAL FACTOR ANALYSIS method are the correlation analysis methods in multivariate statistics category, strengthen the extraction to multiple information, but performing step are loaded down with trivial details, poor operability.For this reason, this research adopts the Clustering Analysis Technology based on neural network to carry out the division of reservoir rock physics phase.Neural network (NeuralNetworks, NN) be the physiological function of brain treatment mechanism by simulating people, by a large amount of, the complex networks system that simple processing unit (or claiming neuron) extensive interconnection is formed, there is large-scale parallel, distributed storage and process, self-organization, the ability of self-adaptation and self study, be specially adapted to process needs to consider many factors and condition simultaneously, out of true and fuzzy information-processing problem, widespread use and speech recognition at present, figure Understanding and reasoning, computer vision, intelligent robot, in the fields such as fault detect.Because neural network has strong robustness, can remove the advantages such as noise, neural network is used for clustering problem and is expected to solve the noise problem in traditional clustering problem.The basic structure of neural network is divided into output layer, processing layer and output layer three part.Input layer receives the external information such as data and related function from external environment, and processing layer is complicated interconnected by different weights by processing node, thus carries out complicated weighting process to the data of input layer transmission, finally obtains result by output layer.In clustering problem, the sample of cluster can arrive input layer as input data, then through processing layer, complicated weighted evaluation be carried out to sample, then export the result of cluster at output layer, thus reach the object of cluster.Because neural network has strong robustness, can remove the advantage of noise, so pole individual noise data can not be gathered separately is a class, thus efficiently avoid the impact of noise data for cluster result.If for the uncomprehending words of relation of potential rock physics mechanism, nerual network technique is a method of relation between study and assessment rock properties.Cluster analysis can determine the best nonlinear function matched with these relations.Once this nonlinear function is determined, just may be used for the property value desired by predicting.Target work area adopts result of log interpretation factor of porosity, and permeability, shale index, median size and fluxion strap desired value etc. carry out the cluster analysis of reservoir rock physics phase, are divided three classes.Wherein shale index and median size mainly reflect the rock phase character of reservoir, the physical property characteristic of factor of porosity, permeability reflection reservoir.Fluxion strap desired value then reflects the microscopic void result feature of reservoir.
Further, the target reservoir high water cut model that sequential Gaussian simulation method is set up under sedimentary facies constraint is adopted.Sequential Gaussian simulation is a kind of widely used variables model method.Gaussian random territory is the most classical random function, and the maximum feature of this model is that stochastic variable meets Gaussian distribution (normal distribution).Therefore in sequential Gaussian simulation, first condition data is converted into standard gaussian value, stochastic simulation is carried out to the variogram of translated data, then Gauss's analog result is converted into original data space, obtain the continuous space distribution of parameter.
S103: under the constraint of described three-dimensional reservoir high water cut model, based on the multiple individual well parameter models of physical built in advance, sets up three-dimensional reservoir parameter models of physical.
First multiple individual well parameter models of physical is built according to log analysis data.Further, adopt the reservoir physical parameter analogy method based on sequential Gaussian simulation, under the reservoir rock physics set up is mutually model constrained, set up reservoir physical parameter (factor of porosity, permeability etc.) three-dimensional model under the constraint of reservoir sedimentary facies.
As seen from the above embodiment, the invention discloses a kind of reservoir physical parameter modeling method.First the method builds the three-dimensional sedimentary facies model of reservoir, and under the constraint of three-dimensional sedimentary facies model, sets up three-dimensional reservoir high water cut model.And then, under the constraint of three-dimensional reservoir high water cut model, set up three-dimensional reservoir parameter models of physical.Compared with prior art, the present invention is when building reservoir rock parameter models of physical, not only consider that sedimentary facies retrains, also contemplate the impact of reservoir rock physics phase, make modeling result can embody the combined action storing deposition, Diagn and later structural effect, thus improve the description precision of reservoir physical parameter model to oil reservoir.
The structural representation of the apparatus for establishing of a kind of reservoir physical parameter model disclosed in another embodiment of the present invention is shown see Fig. 2.
As shown in Figure 2, this device comprises: three-dimensional sedimentary facies model construction unit 1, three-dimensional reservoir high water cut construction unit 2 and three-dimensional reservoir parameter models of physical construction unit 3.
Wherein, three-dimensional sedimentary facies model construction unit is for building the three-dimensional sedimentary facies model of reservoir.And then three-dimensional reservoir high water cut model construction unit is under the constraint of described three-dimensional sedimentary facies model, based on the multiple individual well reservoir rock physics phase models built in advance, set up three-dimensional reservoir high water cut model.
Three-dimensional reservoir parameter models of physical construction unit, under the constraint of described three-dimensional reservoir high water cut model, based on the multiple individual well parameter models of physical built in advance, sets up three-dimensional reservoir parameter models of physical.
It should be noted that, in device embodiment, the concrete implementation of unit is identical with the implementation in embodiment of the method, and therefore not to repeat here.
Optionally, in other device embodiments disclosed by the invention, described three-dimensional sedimentary facies model construction unit comprises: information acquisition subelement, three-dimensional structure model construction subelement and three-dimensional sedimentary facies model construction subelement.
Wherein, described information acquisition subelement is for obtaining seismic interpretation information and geological layering information.Three-dimensional structure model construction subelement is according to described seismic interpretation information and described geological layering information architecture three-dimensional structure model.And then three-dimensional sedimentary facies model construction subelement, based on described three-dimensional structure model, sets up three-dimensional sedimentary facies model.
Finally, also it should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (10)
1. a reservoir physical parameter modeling method, is characterized in that, comprising:
Build the three-dimensional sedimentary facies model of reservoir;
Under the constraint of described three-dimensional sedimentary facies model, based on the multiple individual well reservoir rock physics phase models built in advance, set up three-dimensional reservoir high water cut model;
Under the constraint of described three-dimensional reservoir high water cut model, based on the multiple individual well parameter models of physical built in advance, set up three-dimensional reservoir parameter models of physical.
2. method according to claim 1, is characterized in that, the three-dimensional sedimentary facies model of described structure reservoir, comprising:
Obtain seismic interpretation information and geological layering information;
According to described seismic interpretation information and described geological layering information architecture three-dimensional structure model;
Based on described three-dimensional structure model, set up three-dimensional sedimentary facies model.
3. method according to claim 1, it is characterized in that, described under the constraint of described three-dimensional sedimentary facies model, based on building multiple individual well reservoir rock physics phase model in advance, before setting up three-dimensional reservoir high water cut model, also comprise: according to log analysis data, build multiple individual well reservoir rock physics phase model.
4. method according to claim 1, it is characterized in that, described under the constraint of described three-dimensional reservoir high water cut model, based on the multiple individual well parameter models of physical built in advance, before setting up three-dimensional reservoir parameter models of physical, also comprise: according to log analysis data, build multiple individual well parameter models of physical.
5. method according to claim 1, is characterized in that, the three-dimensional sedimentary facies model of described structure reservoir comprises: utilize sequential Gaussian simulation technology to set up described three-dimensional reservoir high water cut model.
6. method according to claim 3, is characterized in that, described structure multiple individual well reservoir rock physics phase model comprises: the Clustering Analysis Technology based on neural network builds multiple individual well reservoir rock physics phase model.
7. method according to claim 1, is characterized in that, described under the constraint of described three-dimensional sedimentary facies model, based on the multiple individual well reservoir rock physics phase models built in advance, sets up three-dimensional reservoir high water cut model, comprising:
Adopt sequential Gaussian simulation technology under the constraint of described three-dimensional sedimentary facies model, based on the multiple individual well reservoir rock physics phase models built in advance, set up three-dimensional reservoir high water cut model.
8. method according to claim 1, is characterized in that, described under the constraint of described three-dimensional reservoir high water cut model, based on the multiple individual well parameter models of physical built in advance, sets up three-dimensional reservoir parameter models of physical, comprising:
Adopt sequential Gaussian simulation technology under the constraint of described three-dimensional reservoir high water cut model, based on the multiple individual well parameter models of physical built in advance, set up three-dimensional reservoir parameter models of physical.
9. a reservoir physical parameter model modeling device, is characterized in that, comprising:
Three-dimensional sedimentary facies model construction unit, for building the three-dimensional sedimentary facies model of reservoir;
Three-dimensional reservoir high water cut model construction unit, under the constraint of described three-dimensional sedimentary facies model, based on the multiple individual well reservoir rock physics phase models built in advance, sets up three-dimensional reservoir high water cut model;
Three-dimensional reservoir parameter models of physical construction unit, under the constraint of described three-dimensional reservoir high water cut model, based on the multiple individual well parameter models of physical built in advance, sets up three-dimensional reservoir parameter models of physical.
10. device according to claim 9, is characterized in that, described three-dimensional sedimentary facies model construction unit comprises:
Information acquisition subelement, for obtaining seismic interpretation information and geological layering information;
Three-dimensional structure model construction subelement, for according to described seismic interpretation information and described geological layering information architecture three-dimensional structure model;
Three-dimensional sedimentary facies model construction subelement, for based on described three-dimensional structure model, sets up three-dimensional sedimentary facies model.
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| CN105844708A (en) * | 2016-03-17 | 2016-08-10 | 成都创源油气技术开发有限公司 | Reservoir three-dimensional geological modeling method |
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| CN107290506A (en) * | 2017-07-28 | 2017-10-24 | 中国石油大学(北京) | A kind of method of quantitative assessment reservoir diagenetic evolutionary process porosity Spatio-temporal Evolution |
| CN109664510A (en) * | 2018-12-26 | 2019-04-23 | 长江大学 | A kind of oil exploitation stratum reservoir 3D modeling print system |
| CN110599594A (en) * | 2019-07-29 | 2019-12-20 | 成都理工大学 | Three-dimensional modeling method for rock physical structure |
| CN110599594B (en) * | 2019-07-29 | 2021-07-20 | 成都理工大学 | Three-dimensional modeling method for rock physical structure |
| CN111599010A (en) * | 2020-04-27 | 2020-08-28 | 武汉智博创享科技股份有限公司 | High-precision modeling method and system for attribute data of layer-control phase-control multi-constraint polluted site |
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