CN110082835A - Meandering river point bar loose sand reservoir properties novel method for modeling - Google Patents

Meandering river point bar loose sand reservoir properties novel method for modeling Download PDF

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Publication number
CN110082835A
CN110082835A CN201910231970.5A CN201910231970A CN110082835A CN 110082835 A CN110082835 A CN 110082835A CN 201910231970 A CN201910231970 A CN 201910231970A CN 110082835 A CN110082835 A CN 110082835A
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model
point bar
well
meandering river
sand
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张华锋
杜玉山
曲全工
季迎春
吕世超
解伟
李敬
邹建
司陈阳
陈乾虓
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China Petroleum and Chemical Corp
Exploration and Development Research Institute of Sinopec Henan Oilfield Branch Co
Exploration and Development Research Institute of Sinopec Shengli Oilfield Co
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China Petroleum and Chemical Corp
Exploration and Development Research Institute of Sinopec Henan Oilfield Branch Co
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    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
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  • Life Sciences & Earth Sciences (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
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Abstract

The present invention provides a kind of meandering river point bar loose sand reservoir properties novel method for modeling, comprising: step 1, acquires well location and log data;Step 2, target meandering river sand body top and bottom model is established by well log interpretation layer position data;Step 3, using each side product body interface that well point is finely identified as control, the model of spatial distribution of each side product body and lateral accretion interbed is established;Step 4, the lithology model under configuration screen work is established with the lithology data of well log interpretation;Step 5, sand body structure and scale feature are analyzed, establish point bar sand body plane and vertical grid model;Step 6, the porosity model of meandering river point bar sand body is established with the porosity data of well log interpretation;Step 7, the penetration rate model of meandering river point bar loose sand is established.The meandering river point bar loose sand reservoir properties novel method for modeling can establish the penetration rate model more identical with loose sand physical property characteristic, provide more accurate geological model for reservoir numerical simulation.

Description

Meandering river point bar loose sand reservoir properties novel method for modeling
Technical field
The present invention relates to reservoir geologic modeling fields, especially relate to a kind of meandering river point bar loose sand reservoir properties Novel method for modeling.
Background technique
Due between meandering river point bar sand body and inside point bar sand body there are the inhomogeneity of a variety of structures and physical property, We are difficult to establish accurate meandering river sand body model.People are mainly established by information of appearing accurately bent at present Flow the structural model of river point bar sand body.
The heterogeneity of the granularity of different structure unit, sorting and variation of lithological is on vertical and lateral inside point bar sand body The variation of reservoir wood interior porosity and permeability is affected, and the variation of reservoir wood interior porosity and permeability influences oil reservoir and opens Send out feature.Thus we need to establish the geological model for meeting physical property characteristic inside meandering river point bar.
Point bar sand body private side lamination generates important influence to oil reservoir fluid movement, and current side lamination is in a model It is handled mainly as mud stone.However, side lamination is not only made of side deposition rock.Deposition rock side below in side in the lamination of side Regularity variation is presented in product its physical property of sandstone, and can seldom embody in the product pervious modeling method of sandstone of this part side.
Mainly outcrop data is carried out for the heterogeneity modeling inside meandering river point bar at present, not targeted specifically The heterogeneity method of lower reservoir.The physical property appeared is difficult accurately to obtain, and the physical property for the physical property and subsurface reservoir appeared exists Biggish deviation.The penetration rate model of meandering river point bar sand body is mainly constrained by porosity model and is established at present, and for dredging Porosity and infiltration rate dependence are very poor for fluffing of moulding sand rock.Traditional making of porosity constrains the method for establishing penetration rate model very Difficulty establishes accurate penetration rate model.
We carry out the permeability and granularity that analysis finds meandering river point bar loose sand to coring well physical property measurement data With preferable correlation.Inside point bar loose sand, permeability and granularity change in vertical upper presentation regularity, and it changes Rule meets certain functional form.Therefore, it is contemplated that doing constraint with infiltration flow rate variation function establishes point bar internal penetration rate Model.The meandering river point bar penetration rate model established by new method is surveyed in the middle low value of permeability and high value part and coring well It is higher to try data coincidence.
Summary of the invention
The object of the present invention is to provide under a kind of guidance based on core physical property changing pattern, can establish and loose sand object The meandering river point bar loose sand reservoir properties novel method for modeling of the property more identical penetration rate model of feature.
The purpose of the present invention can be achieved by the following technical measures: the modeling of meandering river point bar loose sand reservoir properties is new Method, which includes: step 1, acquires well location and log data;Step 2, target meandering river sand body top and bottom model is established by well log interpretation layer position data;Step 3, it is finely identified with well point Each side product body interface as control, establish the model of spatial distribution of each side product body and lateral accretion interbed;Step 4, it is solved with well logging The lithology data released establishes the lithology model under configuration screen work;Step 5, sand body structure and scale feature are analyzed, point bar sand is established The plane of body and vertical grid model;Step 6, the porosity of meandering river point bar sand body is established with the porosity data of well log interpretation Model;Step 7, the penetration rate model of meandering river point bar loose sand is established.
The purpose of the present invention can be also achieved by the following technical measures:
In step 1, acquire well location, well log interpretation layer position data, well log interpretation lithology data, well log interpretation side lamination and Accumulate volume data, well log interpretation physical data in side.
In step 2, the abnormal well point in model is deleted according to sand body top bottom surface model is established using the target sand body top truth of a matter It removes, and top bottom surface model is adjusted and establishes final top bottom surface model.
In step 3, using each side product body interface that well point is finely identified as control, each side product body and side product are established The model of spatial distribution of interlayer, each side product body and lateral accretion interbed are treated as independent area of space, to each other by side product interface phase Every side lamination thickness is set as 0.1m;
In step 4, by coring well or similar work area investigation and analysis, extension of the mud stone in point bar in the lamination of side is determined Range, and then lithology model is established on the basis of point bar private side lamination and side product body Skeleton Model.
In steps of 5, the scale for analyzing target meandering river point bar sand body, according to well spacing density, sand body planar range and sand Body thickness selects reasonable plane and vertical grid dividing scheme to establish grid model, and the direction i is walked with side lamination in grid model To consistent, the direction j is orthogonal with the direction i, while to show the vertical variations feature of side lamination property parameters, vertical web thickness is not It is easily excessive.
In step 7, using Kriging regression method, opposite side product body and lateral accretion interbed are analyzed variogram respectively, are led Become Cheng Fangxiang and side product body trend is consistent, sub-range direction and side product body tendency are consistent;Using well point log analysis data as defeated Enter, porosity model is simulated with the variogram after analyzing.
In step 7, the side lamination of response, side product body are analyzed meandering river point bar coring well and divided, will be divided Multiple side laminations out or side product body have seen the different location of the same side lamination or side product body respectively, analyze the same side lamination or Body permeability Vertical Variation Characteristic is accumulated in side, and then fits the permeability vertical variations function of side lamination and side product body respectively.
In step 7, make primary range direction and the side product body trend of side product body penetration rate model consistent, sub-range direction with Side product body tendency is consistent, is constraint with the permeability variation function of core analysis, establishes meandering stream point using Kriging regression method Dam reservoir loose sand penetration rate model.
Meandering river point bar loose sand reservoir properties novel method for modeling in the present invention, its advantage is that being established using coring well The physical property distribution function of each structural unit and use this function to establish as constraint condition to be based on meandering river point bar storage inside point bar The physical property model of layer structure feature.The method form based on point bar sand body configuration control under physical property novel method for modeling, Technology provides more accurate geological model for meandering river point bar loose sand oil accumulation numerical simulation.
Detailed description of the invention
Fig. 1 is the process of a specific embodiment of meandering river point bar loose sand reservoir properties novel method for modeling of the invention Figure;
Fig. 2 is the theoretical model for summarizing side lamination and side product body physical property variation described in the embodiment of the present invention by coring well Figure;
Fig. 3 is top, bottom surface and side the product face of the Zhanhua depression block meandering river point bar of foundation described in the embodiment of the present invention Illustraton of model;
Fig. 4 is the side lamination and side product body mould of the Zhanhua depression block meandering river point bar of foundation described in the embodiment of the present invention Type figure;
Fig. 5 is the Zhanhua depression block meandering river point bar sand established described in the embodiment of the present invention with well log interpretation porosity The porosity model figure in internal portion;
Fig. 6 is that the side product body that Zhanhua depression block described in the embodiment of the present invention is analyzed by coring well and side lamination permeate The longitudinally varying figure of rate;
Fig. 7 is that Zhanhua depression block described in the embodiment of the present invention is built by the longitudinally varying function constraint of permeability being fitted Vertical meandering river point bar sand body penetration rate model figure;
Fig. 8, which is Zhanhua depression block described in the embodiment of the present invention, to be constraint with porosity and with Permeability Distribution function is Constrain the model result comparison diagram established.
Specific embodiment
To enable above and other objects, features and advantages of the invention to be clearer and more comprehensible, preferably implementation is cited below particularly out Example, and cooperate shown in attached drawing, it is described in detail below.
As shown in FIG. 1, FIG. 1 is the flow charts of meandering river point bar loose sand reservoir properties novel method for modeling of the invention.
(1) well location, well log interpretation layer position data, well log interpretation lithology data, well log interpretation side lamination and side product body are acquired Data, well log interpretation physical data.
(2) the abnormal well point in model is deleted, and right using the target sand body top truth of a matter according to sand body top bottom surface model is established Top bottom surface model, which is adjusted, establishes final top bottom surface model.
(3) each side product body interface finely identified using well point is established each side and accumulates body and lateral accretion interbed as control Model of spatial distribution, each side product body and lateral accretion interbed are treated as independent area of space (Zone), to each other by side product interface phase Every side lamination thickness is set as 0.1m;
(4) by coring well or similar work area investigation and analysis, expanded range of the mud stone in point bar in the lamination of side is determined, into And lithology model is established on the basis of point bar private side lamination and side product body Skeleton Model.
(5) scale for analyzing target meandering river point bar sand body, is selected according to well spacing density, sand body planar range and sand thickness It selects reasonable plane and vertical grid dividing scheme establishes grid model, the direction i and side lamination trend are consistent in grid model, j Direction is orthogonal with the direction i, while to show the vertical variations feature of side lamination property parameters, vertical web thickness is not easy excessive.
(6) porosity model of meandering river point bar reservoir is established using the voidage data of well log interpretation:
(7) Kriging regression method is used, opposite side product body and lateral accretion interbed analyze variogram, primary range direction respectively Consistent with side product body trend, sub-range direction and side product body tendency are consistent;Using well point log analysis data as input, with analysis Variogram afterwards simulates porosity model.
(8) the side lamination of response, side product body are analyzed meandering river point bar coring well and are divided, it is multiple by what is marked off Side lamination or side product body have seen the different location of the same side lamination or side product body respectively, analyze the same side lamination or side product body seeps Saturating rate Vertical Variation Characteristic, and then the permeability vertical variations function of side lamination and side product body is fitted respectively.
(9) make primary range direction and the side product body trend of side product body penetration rate model consistent, sub-range direction and side product body Tendency is consistent, is constraint with the permeability variation function of core analysis, establishes meandering river point bar reservoir using Kriging regression method Loose sand penetration rate model.
In an application specific embodiment of the invention, Zhanhua depression upper Guantao Formation is to develop meandering river sand body It is main.5 Sand member of upper Guantao Formation is one of main force's oil-bearing layer of Gudong field.Its meandering river point bar reservoir distribution range compared with Extensively, buried depth is shallow, and sand body is loose, is High porosity high permeability reservoirs.Reservoir wood interior porosity difference is smaller, and permeability contrast is obvious, to storage Layer physical property modeling demand it is higher, using method of the invention establish area's meandering river point bar loose sand penetration rate model effect compared with It is good.
(1) well location, well log interpretation layer position data, well log interpretation lithology data, well logging are loaded into computer modeling program Explain side lamination and side product volume data, well log interpretation physical data, this example uses the petrel software of Schlumberger.
(2) using the target sand body top truth of a matter that imported into modeling software according to establishing sand body top, bottom surface model.Destination layer Top, bottom surface buried depth delete the abnormal well point in model between 1400-1800m, and are adjusted foundation to top bottom surface model Final top bottom surface model, as shown in Figure 2.
(3) using each side product body interface that well point is finely identified as control, the spread model of each side product body interface is established, As shown in figure 3, being the side product body and side lamination of response between the product interface of side.Later using each side product body and side lamination as individually Area of space (Zone) is handled, and is separated by each other by side product interface, side lamination thickness is set as 0.1m, obtains after processing The spatial model of body, side lamination is accumulated in side, as shown in Figure 4.
(4) it is found by studying the coring well analysis of more mouthfuls of area, point bar private side product body lithology is based on sand body;In the lamination of side Top is mud stone, and its underpart is sandstone, and mud stone extends approximately to the middle part of point bar from the top interface of point bar in the lamination of side.And then I Establish point bar private side lamination and side product body lithology model.
(5) grid model in example area is established.It is larger to model constituency well spacing density, average well spacing is less than 100m, most The Small Well Away from 30m, plane grid size 5m*5m, the direction grid i and side lamination trend are consistent, and the direction j is orthogonal with the direction i, plane grid number Total 80*87=6960. interval of interest average thickness is 10m, vertical for the vertical variations feature for showing side lamination property parameters Grid is according to fixed thickness, downward mono- grid of every 0.5m on the basis of target zone top surface, vertical average 20 grids.
(6) Kriging regression method is used, opposite side product body and lateral accretion interbed analyze variogram, primary range direction respectively Consistent with side product body trend, sub-range direction and side product body tendency are consistent.Its porosity variogram primary range is 214.8m, Sub-range is 128.5m, and for vertical change journey into 6m, block gold number is 0.Later, we utilize the voidage data use gram of well log interpretation In golden difference approach establish the porosity model of meandering river point bar reservoir, as shown in Figure 5.
(7) the side lamination of response, side product body are analyzed meandering river point bar coring well and are divided, it is multiple by what is marked off Side lamination or side product body have seen the different location (Fig. 2) of the same side lamination or side product body respectively.Analyze the same side lamination or side Product body permeability Vertical Variation Characteristic discovery: exponential function variation characteristic (Fig. 6 a) is presented in the side internal permeability of product from bottom to top; Permeability of Sandstone exponentially reduces from bottom to top in the lamination of side, is approximately zero (figure to side lamination middle and upper part mud stone position permeability 6b).And then we have concluded that the permeability vertical variations function of side product body and the piecewise function of side lamination permeability.Use permeability Variation function constrains, using gram in golden differential technique difference establishment side product body and side lamination penetration rate model, as shown in Figure 7. Permeability variogram primary range is 213.1m in modeling process, and sub-range 104.1m, into 4.9m, block gold number is vertical change journey 0。
(8) meandering river point bar loose sand physical property model reasonable dismissal can be established according to the above method, what the method was established Penetration rate model more coincide (Fig. 8) than doing the penetration rate model that constraint is established with porosity with coring well test data, under One step reservoir numerical simulation provides more accurate geological model.
(9) the present invention is described by way of example in face, but the present invention is not limited to above-mentioned specific embodiment, all to be based on Any changes or modifications that the present invention is done are fallen within the scope of the claimed invention.

Claims (9)

1. meandering river point bar loose sand reservoir properties novel method for modeling, which is characterized in that meandering river point bar loose sand storage Layer physical property novel method for modeling include:
Step 1, well location and log data are acquired;
Step 2, target meandering river sand body top and bottom model is established by well log interpretation layer position data;
Step 3, using each side product body interface that well point is finely identified as control, the sky of each side product body and lateral accretion interbed is established Between spread model;
Step 4, the lithology model under configuration screen work is established with the lithology data of well log interpretation;
Step 5, sand body structure and scale feature are analyzed, establish point bar sand body plane and vertical grid model;
Step 6, the porosity model of meandering river point bar sand body is established with the porosity data of well log interpretation;
Step 7, the penetration rate model of meandering river point bar loose sand is established.
2. meandering river point bar loose sand reservoir properties novel method for modeling according to claim 1, which is characterized in that in step In rapid 1, well location, well log interpretation layer position data, well log interpretation lithology data, well log interpretation side lamination and side product volume data are acquired, Well log interpretation physical data.
3. meandering river point bar loose sand reservoir properties novel method for modeling according to claim 1, which is characterized in that in step In rapid 2, using the target sand body top truth of a matter according to sand body top bottom surface model is established, the abnormal well point in model is deleted, and to top bottom Surface model, which is adjusted, establishes final top bottom surface model.
4. meandering river point bar loose sand reservoir properties novel method for modeling according to claim 1, which is characterized in that in step In rapid 3, using each side product body interface that well point is finely identified as control, the space exhibition of each side product body and lateral accretion interbed is established Cloth model, each side product body and lateral accretion interbed are treated as independent area of space, are separated by each other by side product interface, side lamination thickness It is set as 0.1m.
5. meandering river point bar loose sand reservoir properties novel method for modeling according to claim 1, which is characterized in that in step In rapid 4, by coring well or similar work area investigation and analysis, expanded range of the mud stone in point bar, Jin Er in the lamination of side are determined Lithology model is established on the basis of point bar private side lamination and side product body Skeleton Model.
6. meandering river point bar loose sand reservoir properties novel method for modeling according to claim 1, which is characterized in that in step In rapid 5, the scale of target meandering river point bar sand body is analyzed, selects to close according to well spacing density, sand body planar range and sand thickness The plane of reason and vertical grid dividing scheme establish grid model, and the direction i and side lamination trend are consistent in grid model, the direction j It is orthogonal with the direction i, while to show the vertical variations feature of side lamination property parameters, vertical web thickness is not easy excessive.
7. meandering river point bar loose sand reservoir properties novel method for modeling according to claim 1, which is characterized in that in step In rapid 7, using Kriging regression method, opposite side product body and lateral accretion interbed analyze variogram, primary range direction and side respectively Product body trend is consistent, and sub-range direction and side product body tendency are consistent;Using well point log analysis data as input, after analysis Variogram simulates porosity model.
8. meandering river point bar loose sand reservoir properties novel method for modeling according to claim 7, which is characterized in that in step In rapid 7, the side lamination of response, side product body are analyzed meandering river point bar coring well and are divided, by the multiple sides marked off product Layer or side product body have seen the different location of the same side lamination or side product body respectively, analyze the same side lamination or side product body permeability Vertical Variation Characteristic, and then the permeability vertical variations function of side lamination and side product body is fitted respectively.
9. meandering river point bar loose sand reservoir properties novel method for modeling according to claim 8, which is characterized in that in step In rapid 7, keep the primary range direction of side product body penetration rate model and side product body trend consistent, sub-range direction and side product body tendency one It causes, is constraint with the permeability variation function of core analysis, the loose sand of meandering river point bar reservoir is established using Kriging regression method Rock penetration rate model.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110702632A (en) * 2019-09-29 2020-01-17 核工业北京地质研究院 Three-dimensional modeling method for hyperspectral information of deep rock and ore
CN113031065A (en) * 2020-12-02 2021-06-25 中海石油(中国)有限公司 Oil field sand body geological modeling method
CN114088595A (en) * 2020-08-24 2022-02-25 中国石油化工股份有限公司 Method for evaluating permeability of alluvial fan-phase overflow sandstone reservoir based on granularity data
CN115903026A (en) * 2023-01-09 2023-04-04 东北石油大学三亚海洋油气研究院 Method, equipment and medium for analyzing configuration of composite sand body

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130080059A1 (en) * 2011-09-22 2013-03-28 Schlumberger Technology Corporation Integrated dip from 3d resistivity tool and borehole imaging tool
CN104018828A (en) * 2014-05-20 2014-09-03 长江大学 Meander river sand body reservoir building structure analysis method based on evolution process
CN104182417A (en) * 2013-05-27 2014-12-03 中国石油化工股份有限公司 Meandering stream reservoir structured data management system and method
CN104632200A (en) * 2013-11-14 2015-05-20 中国石油化工股份有限公司 Fluvial facies multi-layer and thick-layer oil deposit fine modeling method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130080059A1 (en) * 2011-09-22 2013-03-28 Schlumberger Technology Corporation Integrated dip from 3d resistivity tool and borehole imaging tool
CN104182417A (en) * 2013-05-27 2014-12-03 中国石油化工股份有限公司 Meandering stream reservoir structured data management system and method
CN104632200A (en) * 2013-11-14 2015-05-20 中国石油化工股份有限公司 Fluvial facies multi-layer and thick-layer oil deposit fine modeling method
CN104018828A (en) * 2014-05-20 2014-09-03 长江大学 Meander river sand body reservoir building structure analysis method based on evolution process

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
陈薪凯: "秦皇岛32-6油田单砂体识别与构型刻画", 《中国优秀硕士学位论文全文数据库 基础科学辑》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110702632A (en) * 2019-09-29 2020-01-17 核工业北京地质研究院 Three-dimensional modeling method for hyperspectral information of deep rock and ore
CN110702632B (en) * 2019-09-29 2022-08-19 核工业北京地质研究院 Three-dimensional modeling method for hyperspectral information of deep rock and ore
CN114088595A (en) * 2020-08-24 2022-02-25 中国石油化工股份有限公司 Method for evaluating permeability of alluvial fan-phase overflow sandstone reservoir based on granularity data
CN113031065A (en) * 2020-12-02 2021-06-25 中海石油(中国)有限公司 Oil field sand body geological modeling method
CN115903026A (en) * 2023-01-09 2023-04-04 东北石油大学三亚海洋油气研究院 Method, equipment and medium for analyzing configuration of composite sand body

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