CN105022856B - Predict the reservoir modeling methodologies of high camber meandering channel reservoir internal structure - Google Patents

Predict the reservoir modeling methodologies of high camber meandering channel reservoir internal structure Download PDF

Info

Publication number
CN105022856B
CN105022856B CN201510185399.XA CN201510185399A CN105022856B CN 105022856 B CN105022856 B CN 105022856B CN 201510185399 A CN201510185399 A CN 201510185399A CN 105022856 B CN105022856 B CN 105022856B
Authority
CN
China
Prior art keywords
mrow
reservoir
mtd
well
mfrac
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201510185399.XA
Other languages
Chinese (zh)
Other versions
CN105022856A (en
Inventor
尹艳树
张昌民
王军
李少华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yangtze University
Original Assignee
Yangtze University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yangtze University filed Critical Yangtze University
Priority to CN201510185399.XA priority Critical patent/CN105022856B/en
Publication of CN105022856A publication Critical patent/CN105022856A/en
Application granted granted Critical
Publication of CN105022856B publication Critical patent/CN105022856B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Geophysics And Detection Of Objects (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of reservoir modeling methodologies for predicting high camber meandering channel reservoir internal structure, include the following steps:Step 1: appeared, made ground, flume experiment reservoir structure cell data;Step 2: reservoir structure cell parameters on well are obtained by well analysis;Step 3: passing through obtained construction unit parameter establishes construction unit described function;Step 4: using include appearing, made ground, flume experiment and well point construction unit data constraint, meandering channel reservoir construction unit model is established using hierarchical modeling methodology.The present invention is conducive to establish fine, objective, quantitative meandering channel reservoir internal structure threedimensional model, can greatly improve the rate of oil and gas recovery, can be widely applied to oil-gas exploration and development technical field.

Description

Predict the reservoir modeling methodologies of high camber meandering channel reservoir internal structure
Technical field
The present invention relates to oil-gas exploration and development technical field, is predicted more particularly to one kind inside high camber meandering channel reservoir The reservoir modeling methodologies of structure.
Background technology
In the oil reservoir development middle and later periods, the control of meandering channel reservoir internal structure such as abandoned channel and side product body to petroleum distribution Effect has highlighted.Remaining oil is excavated, improving recovery ratio needs to carry out fine description and modeling to reservoir internal structure.
Establish meandering channel reservoir and be distributed approach mainly by three kinds of approach:First, mesh calibration method is based on, including based on heavy The method of product process;Second, the modeling method based on picture dot;Third, human-computer interaction means of interpretation.But traditional side based on target It is too big that method portrays meandering stream objective body scale, can not portray the product body distribution of meandering channel reservoir private side.And based on deposition process then Since the technical reasons such as well data conditioning can not be applied in actual oil reservoir;Modeling method based on picture dot is then due to being difficult to examine Consider sedimentary origin and reservoir form, can not also meet the requirement of meandering channel reservoir internal structure modeling, referring specifically to Fig. 1.And people Although the thinking of geology man is preferably dissolved into the dissection of reservoir internal structure by machine interaction means of interpretation, workload is huge, it grinds Study carefully more researchs for being limited to well group scale, full oil reservoir real application research is then extremely difficult.In addition, manual interpretation varies with each individual, Explain there is artificial random, shortage objectivity and standard.Therefore, there is an urgent need to design a kind of new meandering channel reservoir internal junction Structure Method of Unit Modeling, is meticulous depiction meandering channel reservoir internal structure, residual oil distribution predicting, improves rate of oil and gas recovery clothes Business.
The content of the invention
The purpose of the invention is to overcome the shortcomings of above-mentioned background technology, there is provided one kind predicts high camber meandering channel reservoir The reservoir modeling methodologies of internal structure, are conducive to establish fine, objective, quantitative meandering channel reservoir internal structure three-dimensional mould Type, can greatly improve the rate of oil and gas recovery.
A kind of reservoir modeling methodologies for predicting high camber meandering channel reservoir internal structure provided by the invention, including following step Suddenly:Step 1: appeared, made ground, flume experiment reservoir structure cell data;Step 2: obtained by well analysis Obtain reservoir structure cell parameters on well;Step 3: passing through obtained construction unit parameter establishes construction unit described function;Step Rapid four, using including appearing, made ground, flume experiment and well point construction unit data constraint, using hierarchical modeling methodology Establish meandering channel reservoir construction unit model.
In the above-mentioned technical solutions, in the step 1, process is as follows:1) by appearing in fine description meandering channel reservoir Portion's structure, obtains different reservoir structural unit interface mark and geometric state parameter;2) made ground was investigated by the modern times Satellite photo, observation and the made ground data collected, establish for different reservoir construction unit mathematical model and provide reliable number According to;3) flume experiment obtains different structure unit interface mark and quantitative morphological parameters as prototype model means are established.
In the above-mentioned technical solutions, in the step 2, process is as follows:1) knowledge is sentenced not by the directly observation of coring well core Same reservoir structure unit, establishes the rock electroresponse feature of different structure unit;2) using rock electroresponse pattern to non-coring well Reservoir structure unit is identified and divides, and obtains reservoir structure cell parameters on well.
In the above-mentioned technical solutions, in the step 3, process is as follows:On the basis of the acquisition of reservoir structure cell parameters, Construction unit is described using all kinds of statistics and mathematical function, establishes the number of different structure unit reservoir and its space characteristics Described function is learned, wherein, 1) meandering stream profile morphology parameter description use method described below,
Wherein, d (w, y) is the river thickness of arbitrary point, and t (y) is river maximum gauge on section, and w is current width, W (y) it is maximum width, b (y) is symmetry;
2) probability of occurrence described function in abandoned channel is as follows:
Wherein, p (pb) represents point bar probability of occurrence, and C (y) is meandering stream average curvature;
3) lamination morphologic description in side is as follows:
Wherein, a is inclination angle minimum value, and b is inclination angle maximum, and c is inclination angle mode, and x is inclination angle.
In the above-mentioned technical solutions, in the step 4, process is as follows:1) use appear, made ground, flume experiment with And well point structured data analyzes the mathematical model of acquisition as constraints;2) level is deposited according to meandering channel reservoir, used The thinking of Hierarchical Model, by Level building meandering channel reservoir internal structure model of element:Initially set up the distributed mode in meander river Type;Then the distributed model of abandoned channel is established inside meander river;Finally under abandoned channel constraint, establishment side lamination point Cloth model.
In the above-mentioned technical solutions, in the step 2, the well data includes coring well and non-coring well.
The present invention predicts the reservoir modeling methodologies of high camber meandering channel reservoir internal structure, has the advantages that:
1st, to appear, based on made ground, flume experiment and well point construction unit data, point bar probability of occurrence is established Function, being capable of quantitative forecast point bar probability of occurrence.
2nd, point bar form and distribution are portrayed using abandoned channel form, more truly describes point bar cause analysis, form and sky Between distribution characteristics.
3rd, the described function of side lamination is established, and side lamination is distributed inside point bar using Hierarchical Modeling Technology and is carried out True predictive, so as to improve the accuracy of meandering channel reservoir internal structure three-dimensional modeling, objectivity, and for follow-up analysis with And oil field development provides more accurately foundation.
4th, forecasting efficiency is improved using mathematics and computer science method automatic Prediction.
Brief description of the drawings
Fig. 1 is that the meandering channel reservoir internal structure that traditional modeling method is established models schematic diagram;
Fig. 2 is the flow diagram for the reservoir modeling methodologies that the present invention predicts high camber meandering channel reservoir internal structure;
Fig. 3 is what is obtained in the embodiment for the reservoir modeling methodologies that the present invention predicts high camber meandering channel reservoir internal structure Outcrop data schematic diagram;
Fig. 4 be the reservoir modeling methodologies that the present invention predicts high camber meandering channel reservoir internal structure embodiment in by defending The made ground data schematic diagram that star photo obtains;
Fig. 5 is to pass through well in the embodiment for the reservoir modeling methodologies that the present invention predicts high camber meandering channel reservoir internal structure The data and schematic diagram data that data obtains;
Fig. 6 is the song that the embodiment for the reservoir modeling methodologies that the present invention predicts high camber meandering channel reservoir internal structure is established Flow river reservoir structure model of element schematic diagram.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings and embodiments, but the embodiment should not be construed as pair The limitation of the present invention.
Traditional meandering channel reservoir internal structure modeling method has been described in the introduction in Fig. 1, no longer superfluous herein State.
Referring to Fig. 2, the present invention predicts the reservoir modeling methodologies of high camber meandering channel reservoir internal structure, including following step Suddenly:
Step 1: appeared, made ground, flume experiment reservoir structure cell data;
1) since resolution ratio of appearing is very high, so its research can be careful enough, fine description meandering stream of appearing is passed through Reservoir internal structure, obtains different reservoir structural unit interface mark and geometric state parameter;
2) made ground is investigated can determine different reservoir construction unit Two-dimensional morphology parameter from plane, by the modern times Satellite photo, observation and the made ground data collected, establish for different reservoir construction unit mathematical model and provide reliable number According to;
3) flume experiment obtains different structure unit interface mark and quantitative form ginseng as prototype model means are established Number;
Step 2: reservoir structure cell parameters on well are obtained by well analysis:
Reservoir structure unit is identified and divided according to well data, obtains different structure cell parameters, and the well data includes Coring well and non-coring well,
1) sentenced by the directly observation of coring well core and know different reservoir structure units, establish the rock electricity of different structure unit Response characteristic;
2) non-coring well reservoir structure unit is identified and divided using rock electroresponse pattern, obtain reservoir knot on well Structure cell parameters;
Step 3: passing through obtained construction unit parameter establishes construction unit described function:
On the basis of the acquisition of reservoir structure cell parameters, construction unit is retouched using all kinds of statistics and mathematical function State, establish the mathematical description function of different structure unit reservoir and its space characteristics, wherein,
1) meandering stream profile morphology parameter description uses method described below,
Wherein, d (w, y) is the river thickness of arbitrary point, and t (y) is river maximum gauge on section, and w is current width, W (y) it is maximum width, b (y) is symmetry;
2) probability of occurrence described function in abandoned channel is as follows:
Wherein, p (pb) represents point bar probability of occurrence, and C (y) is meandering stream average curvature;
3) lamination morphologic description in side is as follows:
Wherein, a is inclination angle minimum value, and b is inclination angle maximum, and c is inclination angle mode, and x is inclination angle;
It can be quantified using these mathematical functions, objectively describe the form and sky of meandering channel reservoir internal structure unit Between configuration structure relation;
Step 4: using include appearing, made ground, flume experiment and well point construction unit data constraint, using layer Secondary modeling method establishes meandering channel reservoir construction unit model:
1) meandering channel reservoir for being more nearly a true geologic structure internal structure model is established, is generally required very much Constraints.Understand from the description above, using appear, made ground, flume experiment and well point structured data be as about Beam condition, analyzes that the mathematical model of acquisition is more true and objective, and model is naturally more fine accurate;
2) level is deposited according to meandering channel reservoir, it is fine by Level building, objectively using the thinking of Hierarchical Model Meandering channel reservoir internal structure model of element:Initially set up the distributed model in meander river;Then established inside meander river The distributed model of abandoned channel;Finally under abandoned channel constraint, establishment side lamination distributed model.Simulation is more in line with geology and sinks Product rule.
The present invention is further described with specific embodiment below:
Explanation of the present invention is carried out by taking east China Shengli Oil Field Zhong-1 block meandering channel reservoir as an example.Isolated island Zhong-1 block is in isolated island The top of oil field main body section, simple structure is gentle, 1 degree or so of stratigraphic dip.Reservoir category fluvial facies deposit, mainly river, The reservoir units such as point bar, abandoned channel, side lamination, vertically and horizontally anisotropism is more serious.Research area shares 94 mouthfuls of drilling wells, average well Away from 70m.
1st, appeared, made ground, flume experiment reservoir structure cell data
By the investigation to Yan'an section analogous outcrop, obtain river width, thickness, side lamination inclination angle, extended distance, The construction unit such as frequency data (Fig. 3).
By the satellite photo of made ground, the construction units such as river width, curvature, point bar width, span are obtained Data (Fig. 4).
By flume experiment as a result, obtaining the construction unit data such as river width, curvature, point bar width, span.
These data are established for different reservoir construction unit mathematical model and provide reliable data.
2nd, well analysis obtains reservoir structure cell parameters on well
Each reservoir structure unit is identified by studying area's coring well data, establishes each reservoir structure unit the relationship between lithology and logging (figure 5)。
Using the relationship between lithology and logging of foundation, other non-coring well construction units are divided, obtain different structure cell geometry form Parameter and statistical parameter.
3rd, using obtained construction unit gain of parameter construction unit described function
On the basis of the acquisition of reservoir structure cell parameters, construction unit is retouched using all kinds of statistics and mathematical function State, according to the meandering stream, point bar, side lamination described function above established, all kinds of construction units are described, referring specifically to table 1。
The present invention of table 1 is from the modeling data appeared, made ground, well data obtain
Parameter Minimum value Average value Maximum
River direction/° -10 0 10
River amplitude/m 40 60 120
River wavelength/m 200 400 800
River thickness/m 2 4 6
River width-thickness ratio 20 40 100
Abandoned channel thickness and river thickness ratio 0.2 0.4 0.8
Abandoned channel width and point bar width ratio 0.1 0.15 0.2
Side lamination inclination angle/° 2 10 20
Side lamination extended distance/m 30 40 60
Side lamination spacing/m 20 40 80
Side lamination frequency/ 1 4 10
Side lamination plane length/m 100 150 400
4th, using including appearing, made ground, flume experiment and well point construction unit data obtain constraints establish Meandering channel reservoir construction unit model.
Using appear, made ground, flume experiment and well point structured data as constraints, using Hierarchical Model Thinking, successively secondary foundation is fine, objective meandering channel reservoir internal structure model of element, initially sets up point in meander river Cloth model;Then the distributed model of abandoned channel is established inside meander river;Finally under abandoned channel constraint, establishment side product Layer distributed model.In terms of analog result (Fig. 6), compared with the meandering channel reservoir model that conventional method is established (Fig. 1), river of meandering Internal reservoir structure detailed features have obtained good reflection, and inside meander river, there are shale abandoned channel and shale Side lamination.These internal structures have a major impact oil-water movement, greatly control remaining oil distribution.Built using this method Vertical refined model can directly instruct oilfield well array and Tapping Residual Oil, to improve recovery ratio service.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art God and scope.In this way, if these modifications and changes of the present invention belongs to the scope of the claims in the present invention and its equivalent technologies Within, then the present invention is also intended to comprising including these modification and variations.
The content not being described in detail in this specification belongs to the prior art known to professional and technical personnel in the field.

Claims (2)

  1. A kind of 1. reservoir modeling methodologies for predicting high camber meandering channel reservoir internal structure, it is characterised in that:Include the following steps:
    Step 1: appeared, made ground, flume experiment reservoir structure cell data, process is as follows:
    1) by fine description meandering channel reservoir internal structure of appearing, different reservoir structural unit interface mark and geometry are obtained Morphologic Parameters;
    2) made ground is investigated by Modern Satellite photo, observation and the made ground data collected, and is different reservoir structure list Metamathematics model foundation provides reliable data;
    3) flume experiment obtains different structure unit interface mark and quantitative morphological parameters as prototype model means are established;
    Step 2: obtaining reservoir structure cell parameters on well by well analysis, process is as follows:
    1) sentenced by the directly observation of coring well core and know different reservoir structure units, establish the rock electroresponse of different structure unit Feature;
    2) non-coring well reservoir structure unit is identified and divided using rock electroresponse pattern, obtain reservoir structure list on well First parameter;
    Step 3: passing through obtained construction unit parameter establishes construction unit described function, process is as follows:
    On the basis of the acquisition of reservoir structure cell parameters, construction unit is described using all kinds of statistics and mathematical function, is built The mathematical description function of vertical different structure unit reservoir and its space characteristics, wherein,
    1) meandering stream profile morphology parameter description uses method described below,
    <mrow> <mi>d</mi> <mrow> <mo>(</mo> <mi>w</mi> <mo>,</mo> <mi>y</mi> <mo>)</mo> </mrow> <mo>=</mo> <mn>4</mn> <mo>&amp;CenterDot;</mo> <mi>t</mi> <mrow> <mo>(</mo> <mi>y</mi> <mo>)</mo> </mrow> <mo>&amp;CenterDot;</mo> <msup> <mrow> <mo>(</mo> <mfrac> <mi>w</mi> <mrow> <mi>W</mi> <mrow> <mo>(</mo> <mi>y</mi> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>)</mo> </mrow> <mrow> <mi>b</mi> <mrow> <mo>(</mo> <mi>y</mi> <mo>)</mo> </mrow> </mrow> </msup> <mo>&amp;CenterDot;</mo> <mo>|</mo> <mrow> <mn>1</mn> <mo>-</mo> <msup> <mrow> <mo>(</mo> <mfrac> <mi>w</mi> <mrow> <mi>W</mi> <mrow> <mo>(</mo> <mi>y</mi> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>)</mo> </mrow> <mrow> <mi>b</mi> <mrow> <mo>(</mo> <mi>y</mi> <mo>)</mo> </mrow> </mrow> </msup> </mrow> <mo>|</mo> <mo>,</mo> </mrow>
    Wherein, d (w, y) is the river thickness of arbitrary point, and t (y) is river maximum gauge on section, and w is current width, and W (y) is Maximum width, b (y) are symmetry;
    2) probability of occurrence described function in abandoned channel is as follows:
    <mrow> <mi>p</mi> <mrow> <mo>(</mo> <mi>p</mi> <mi>b</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mrow> <mo>|</mo> <mi>C</mi> <mrow> <mo>(</mo> <mi>y</mi> <mo>)</mo> </mrow> <mo>|</mo> <mo>&lt;</mo> <mn>1.013</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mfrac> <mrow> <mo>|</mo> <mi>C</mi> <mrow> <mo>(</mo> <mi>y</mi> <mo>)</mo> </mrow> <mo>|</mo> <mo>-</mo> <mn>1.013</mn> </mrow> <mrow> <mn>1.7</mn> <mo>-</mo> <mn>1.013</mn> </mrow> </mfrac> <mo>)</mo> </mrow> </mtd> <mtd> <mrow> <mn>1.013</mn> <mo>&lt;</mo> <mo>|</mo> <mi>C</mi> <mrow> <mo>(</mo> <mi>y</mi> <mo>)</mo> </mrow> <mo>|</mo> <mo>&lt;</mo> <mn>1.7</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mn>1</mn> </mtd> <mtd> <mrow> <mo>|</mo> <mi>C</mi> <mrow> <mo>(</mo> <mi>y</mi> <mo>)</mo> </mrow> <mo>|</mo> <mo>&lt;</mo> <mn>1.7</mn> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>,</mo> </mrow>
    Wherein, p (pb) represents point bar probability of occurrence, and C (y) is meandering stream average curvature;
    3) lamination morphologic description in side is as follows:
    <mrow> <mi>f</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mfrac> <msup> <mrow> <mo>(</mo> <mi>x</mi> <mo>-</mo> <mi>a</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mrow> <mo>(</mo> <mi>b</mi> <mo>-</mo> <mi>a</mi> <mo>)</mo> <mo>(</mo> <mi>c</mi> <mo>-</mo> <mi>a</mi> <mo>)</mo> </mrow> </mfrac> </mtd> <mtd> <mrow> <mi>a</mi> <mo>&amp;le;</mo> <mi>x</mi> <mo>&amp;le;</mo> <mi>c</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>-</mo> <mfrac> <msup> <mrow> <mo>(</mo> <mi>b</mi> <mo>-</mo> <mi>x</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mrow> <mo>(</mo> <mi>b</mi> <mo>-</mo> <mi>a</mi> <mo>)</mo> <mo>(</mo> <mi>b</mi> <mo>-</mo> <mi>c</mi> <mo>)</mo> </mrow> </mfrac> </mrow> </mtd> <mtd> <mrow> <mi>c</mi> <mo>&lt;</mo> <mi>x</mi> <mo>&amp;le;</mo> <mi>b</mi> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>,</mo> </mrow>
    Wherein, a is inclination angle minimum value, and b is inclination angle maximum, and c is inclination angle mode, and x is inclination angle;
    Step 4: using include appearing, made ground, flume experiment and well point construction unit data constraint, built using level Mould method establishes meandering channel reservoir construction unit model, and process is as follows:
    1) use appear, made ground, flume experiment and well point structured data as constraints, analyze the mathematical modulo of acquisition Type;
    2) level is deposited according to meandering channel reservoir, using the thinking of Hierarchical Model, by Level building meandering channel reservoir internal junction Structure model of element:Initially set up the distributed model in meander river;Then the distributed mode of abandoned channel is established inside meander river Type;Finally under abandoned channel constraint, establishment side lamination distributed model.
  2. 2. the reservoir modeling methodologies of the high camber meandering channel reservoir internal structure of prediction according to claim 1, its feature exist In:In the step 2, the well data includes coring well and non-coring well.
CN201510185399.XA 2015-04-17 2015-04-17 Predict the reservoir modeling methodologies of high camber meandering channel reservoir internal structure Expired - Fee Related CN105022856B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510185399.XA CN105022856B (en) 2015-04-17 2015-04-17 Predict the reservoir modeling methodologies of high camber meandering channel reservoir internal structure

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510185399.XA CN105022856B (en) 2015-04-17 2015-04-17 Predict the reservoir modeling methodologies of high camber meandering channel reservoir internal structure

Publications (2)

Publication Number Publication Date
CN105022856A CN105022856A (en) 2015-11-04
CN105022856B true CN105022856B (en) 2018-04-24

Family

ID=54412824

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510185399.XA Expired - Fee Related CN105022856B (en) 2015-04-17 2015-04-17 Predict the reservoir modeling methodologies of high camber meandering channel reservoir internal structure

Country Status (1)

Country Link
CN (1) CN105022856B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107463721B (en) * 2017-05-03 2020-04-21 西南石油大学 Modeling method for different evolution mode plane forms of point dam of meandering stream
CN107895076B (en) * 2017-11-10 2021-04-27 长江大学 Non-penetrating river channel modeling method and system based on target
CN108305323B (en) * 2017-12-26 2021-07-06 长江大学 Spline function-based wide and slow river channel shape modeling method and system
CN110322555B (en) * 2018-03-29 2021-07-30 中国石油化工股份有限公司 Diversion river dam type delta leading edge training image establishing method

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103226847A (en) * 2013-04-01 2013-07-31 中国石油天然气股份有限公司 Method and device for generating three-dimensional data volume of point dam of meandering river
CN104281724A (en) * 2013-07-09 2015-01-14 中国石油化工股份有限公司 Method for conducting reservoir property simulation through multi-direction variation function analysis

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103226847A (en) * 2013-04-01 2013-07-31 中国石油天然气股份有限公司 Method and device for generating three-dimensional data volume of point dam of meandering river
CN104281724A (en) * 2013-07-09 2015-01-14 中国石油化工股份有限公司 Method for conducting reservoir property simulation through multi-direction variation function analysis

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
一种新的曲流河点坝侧积层建模方法;尹艳树等;《石油学报》;20110331;第32卷(第2期);第1-3节 *
基于 Google Earth 软件建立曲流河地质知识库;石书缘等;《沉积学报》;20121031;第30卷(第5期);第1节,图1 *
层次建模方法及其在河流相储层建筑结构建模中的应用;尹艳树;《石油地质与工程》;20111130;第25卷(第6期);第1-2节,表1,图1-3 *

Also Published As

Publication number Publication date
CN105022856A (en) 2015-11-04

Similar Documents

Publication Publication Date Title
CN109613612A (en) A kind of carbonate rock particle beach meticulous depiction and prediction technique
CN103454686B (en) Method and system for reservoir prediction based on small-scale sedimentary facies of stratigraphic slice
CN103645516B (en) Based on the method for rock physics phased oil-gas reactivation determination oil-production capacity
CN107966732B (en) Seismic properties change rate acquiring method based on space structure guiding
CN105631529B (en) Method for predicting water breakthrough time of boundary water gas reservoir
He et al. Analyzing the effects of geological and parameter uncertainty on prediction of groundwater head and travel time
CN109343125B (en) Red soil key zone underground structure space prediction method based on ground penetrating radar
CN105022856B (en) Predict the reservoir modeling methodologies of high camber meandering channel reservoir internal structure
CN103590827A (en) Dense clastic rock natural gas well productivity prediction method based on reservoir classification
Mahjour et al. Developing a workflow to represent fractured carbonate reservoirs for simulation models under uncertainties based on flow unit concept
CN106022946A (en) Method and device for determining lithologic stratigraphic trap oil and gas entrapment probability
CN105242307A (en) Complex carbonate stratum earthquake porosity obtaining method and apparatus
CN111611673A (en) Modeling method for carbonate reservoir ancient underground river type reservoir
CN109143337A (en) A kind of lithologic sand body reservoir modeling methodologies
CN110428497B (en) Braided river training image generation method
CN110019594A (en) A kind of geologic datebase method for building up based on numerical simulation
Zhang et al. Spatial patterns and controlling factors of the evolution process of karst depressions in Guizhou province, China
CN104948177B (en) A kind of PRODUCTION FORECASTING METHODS based on rice liquid production index statistical nature rule
CN104281724A (en) Method for conducting reservoir property simulation through multi-direction variation function analysis
CN104834934B (en) A kind of nucleome capture method for being used to identify reservoir fluid
CN109765621B (en) Mapping method for sedimentary facies fine carving
CN111815769B (en) Modeling method, computing device and storage medium for thrust covered zone construction
CN105888656A (en) Method for quantitatively evaluating hydraulic permeability under pressure of natural microcrack development tight reservoir
Li et al. Three-dimensional reservoir architecture modeling by geostatistical techniques in BD block, Jinhu depression, northern Jiangsu Basin, China
Pan et al. An approach to reserve estimation enhanced with 3-D seismic data

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20180424

Termination date: 20210417