CN117348101A - Method for quantitatively and quantitatively evaluating complex lithology trap of sandstone in effective reservoir - Google Patents
Method for quantitatively and quantitatively evaluating complex lithology trap of sandstone in effective reservoir Download PDFInfo
- Publication number
- CN117348101A CN117348101A CN202210749797.XA CN202210749797A CN117348101A CN 117348101 A CN117348101 A CN 117348101A CN 202210749797 A CN202210749797 A CN 202210749797A CN 117348101 A CN117348101 A CN 117348101A
- Authority
- CN
- China
- Prior art keywords
- root
- width
- area
- effective reservoir
- reservoir
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 58
- 230000000704 physical effect Effects 0.000 claims abstract description 26
- 238000012360 testing method Methods 0.000 claims abstract description 20
- 238000004458 analytical method Methods 0.000 claims abstract description 19
- 238000011156 evaluation Methods 0.000 claims abstract description 18
- 238000007619 statistical method Methods 0.000 claims abstract description 10
- 238000009826 distribution Methods 0.000 claims description 24
- 239000004576 sand Substances 0.000 claims description 24
- 238000011160 research Methods 0.000 claims description 17
- 238000005553 drilling Methods 0.000 claims description 13
- 239000011148 porous material Substances 0.000 claims description 7
- 238000009825 accumulation Methods 0.000 claims description 6
- 238000004422 calculation algorithm Methods 0.000 claims description 5
- 238000012795 verification Methods 0.000 claims description 5
- 230000000007 visual effect Effects 0.000 claims description 5
- 230000035945 sensitivity Effects 0.000 claims description 4
- 230000035699 permeability Effects 0.000 claims description 3
- 238000011161 development Methods 0.000 abstract description 7
- 239000010410 layer Substances 0.000 description 18
- 239000011435 rock Substances 0.000 description 8
- 238000003892 spreading Methods 0.000 description 7
- 230000002349 favourable effect Effects 0.000 description 6
- 208000035126 Facies Diseases 0.000 description 5
- 238000009933 burial Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- 230000008021 deposition Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000015572 biosynthetic process Effects 0.000 description 3
- 239000003086 colorant Substances 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011158 quantitative evaluation Methods 0.000 description 2
- 238000000342 Monte Carlo simulation Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000002356 single layer Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
Landscapes
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention provides a quantitative enclosing evaluation method for an effective reservoir of a complex lithology trap of a sandstone, which comprises the following steps: step 1, carrying out qualitative identification on the sector bands of the gritty by using geological and geophysical data; step 2, determining the physical property lower limit of the effective reservoir of the conglomerate sector based on statistical analysis of test analysis data; step 3, carrying out data statistical analysis, and establishing a fitting relation between the width and the depth of the fan root of the dense well pattern area; step 4, carrying out prediction and delineation of the fan root width of the well pattern area based on the area fan root width-depth fitting relation; and 5, eliminating the width of the fan root, delineating the area of the effective reservoir region and carrying out comprehensive evaluation. The quantitative delineating and evaluating method for the complex lithology trap effective reservoir of the gritty combines a geophysical method and a geological comprehensive statistical method, quantitatively identifies the width of compact fanned roots, eliminates fanned roots, and can determine the development range of the effective reservoir of the gritty.
Description
Technical Field
The invention relates to the fields of sedimentary geological theory, oil and gas geological exploration and technical application, in particular to a quantitative circling evaluation method for an effective reservoir of a complex lithology trap of a sandstone.
Background
The sand body mainly develops in deposition environments such as alluvial fans, offshore underwater fans, lake bottom fans and the like. The fan root, the fan and the fan end are commonly used three sub-phase type division schemes. A large number of exploration practices prove that the conglomerate fan body has the remarkable characteristics of large deposition thickness, complex development rule, strong reservoir heterogeneity and the like, the pore permeation difference is obvious in different deposition zones, the fan root subphase physical property at the high position is mostly poor in an ineffective reservoir, the oil content is poor, the fan subphase physical property at the low position is good, the effective reservoir is easy to enrich oil gas, and the lithologic reservoir with the fan root and fan in physical property difference plugging is formed. Therefore, accurately identifying different sedimentary facies zones and quantitatively describing dense fan root areas are one of the key technical problems of the exploration of the sandstone oil reservoir. At present, the analysis of the sector bands of the gritty is only stopped on the expression of lithology, electrical property and seismic characteristics, and the quantitative characterization of the sector bands of the gritty and the quantitative delineation and evaluation of effective reservoirs are lack of intensive research.
The former identification and description technology of the favorable phase bands of the conglomerate sector mainly adopts qualitative geology and geophysical methods. Predicting the development rule and the spreading of the sector body of the conglomerate by using a deposition theory, qualitatively describing sub-phase areas in the sector with good reservoir property, and quantitatively describing the spreading width of each phase band by the technology; the geophysical identification description technology mostly utilizes the seismic phase and extracts certain attribute from the seismic data to identify the sector of the conglomerate, but as the lithology of the area changes rapidly, the quality of the seismic data is poor due to the increase of the burial depth, and the identification precision of the sub-phase width limit of the sector is greatly reduced.
In application number: in the chinese patent application CN201510392504.7, a quantitative prediction method for tight sandstone gas reservoir is related to, comprising the following steps: establishing a geological model of actual geological features of a research area; the inversion parameter, impedance probability distribution and variation function of pre-stack geostatistics are obtained through the analysis of drilling in a work area, and the geologic body and the probability body are obtained through the calculation of a Markov chain Monte Carlo method by combining lithology data, logging data and seismic data on the basis of a geologic model. According to the method, drilling shear wave data are obtained by establishing a geological model and a petrophysical model of a sandstone gas reservoir, and earthquake sensitive parameters of the gas reservoir are obtained by analyzing characteristics of the gas reservoir. The inversion technology of the invention is used for obtaining a specific geologic body and a probability body, thereby solving the technical problems of low longitudinal resolution of earthquake, superposition of gas reservoir and surrounding rock impedance and low prediction precision of a tight sandstone gas reservoir; the invention reduces the polynomials of seismic reservoir predictions.
In application number: in CN202210042770.7, a method and a device for predicting distribution of a favorable reservoir of tight sandstone are related. The method comprises the following steps: constructing a reservoir quality classification standard according to the core analysis and test data of the target interval; and constructing logging interpretation models of various reservoirs according to logging curve data, and dividing the reservoir quality of all the well target intervals. Further, the thickness of the similar reservoirs can be normalized, relative thickness plane distribution diagrams of different types of reservoirs can be sequentially constructed, and different colors are respectively given; and carrying out color fusion on the relative thickness distribution graphs of the multiple reservoirs to obtain a plane distribution graph for evaluating the quality of the reservoirs, and further defining a favorable reservoir distribution range according to the indication significance of the colors. The method solves the problem that the prior art can not accurately predict the favorable reservoir distribution of the tight sandstone under the condition of lacking three-dimensional seismic data, effectively improves the accuracy of predicting the favorable reservoir distribution of the tight sandstone by only using well data, and avoids the high cost of acquiring the three-dimensional seismic data.
In application number: in the Chinese patent application of CN201510334942.8, an identification method of an effective reservoir of compact sandstone is related, and the invention firstly describes basic geological features of the compact sandstone reservoir one by one according to geological elements affecting the reservoir formation of the compact sandstone reservoir; then, determining main control factors of oil gas enrichment by combining dynamic and static data of a production well, determining a reservoir formation mode of compact sandstone according to the obtained main control factors, and defining an advantageous distribution range of an effective reservoir under the constraint of the reservoir formation mode; determining the lower limit value of the oil content, physical properties and electrical properties of the reservoir in the delineated effective reservoir favorable distribution range by using a statistical method; and finally, superposing the determined plane distribution diagram of the parameters on a plane, and delineating an effective reservoir range to realize the identification of the effective reservoir of the tight sandstone. The invention brings the identification of the tight sandstone oil and gas layer into the constraint of the reservoir forming mode for fine depiction, overcomes the defect that the traditional Shan Jingce well is interpreted as a central oil layer and is not connected, and realizes the connected prediction of the tight sandstone oil and gas body.
The prior art is greatly different from the method, the technical problem which is needed to be solved by the user cannot be solved, and the method for quantitatively marking and evaluating the effective reservoir of the complex lithology trap of the conglomerate is invented.
Disclosure of Invention
The invention aims to provide a quantitative closure evaluation method for a complex lithology closure effective reservoir of a gravel rock, which can define the development range of the effective reservoir of the gravel rock.
The aim of the invention can be achieved by the following technical measures: the quantitative enclosing evaluation method for the effective reservoir of the complex lithology of the sandstone comprises the following steps:
step 1, carrying out qualitative identification on the sector bands of the gritty by using geological and geophysical data;
step 2, determining the physical property lower limit of the effective reservoir of the conglomerate sector based on statistical analysis of test analysis data;
step 3, carrying out data statistical analysis, and establishing a fitting relation between the width and the depth of the fan root of the dense well pattern area;
step 4, carrying out prediction and delineation of the fan root width of the well pattern area based on the area fan root width-depth fitting relation;
and 5, eliminating the width of the fan root, delineating the area of the effective reservoir region and carrying out comprehensive evaluation.
The aim of the invention can be achieved by the following technical measures:
in step 1, on the basis of comprehensively researching the data of earthquakes, well logging and rock cores, a qualitative recognition template of sector middle and sector root subphases of the sand body is established by utilizing the sand thickness map, the sand-to-ground ratio, the well logging phases and the seismic amplitude attribute characteristics.
In the step 1, electrical characteristics such as resistivity, natural gamma and sound waves corresponding to the conglomerates, the coarse sandstones, the medium fine sandstones, the siltstone and the mudstones are counted, meanwhile, attribute characteristics such as vibration amplitude and frequency of the seismic waves are counted, wave impedance attribute inversion is carried out, and further, a qualitative recognition template of sector in the sandrock sector and sector root subphases in a research area is established on the basis.
In step 2, physical statistics data including core physical test analysis data, logging visual porosity and visual permeability are utilized, and the data are comprehensively processed and statistically analyzed by a forward and reverse accumulation method, an electric lower limit inverse algorithm, a pore structure method and a coring test oil verification method to determine the effective reservoir physical lower limit of the conglomerate sector.
In step 3, on the basis of determining the physical property lower limit, according to drilling data in a dense well pattern area, counting the transverse width corresponding to the physical property lower limit of each sand group of multiple well points and compacting sector root widths L of different well points Root of Chinese character And fitting the depth h, and obtaining a fitting formula between the width and the depth of the fan root of the well pattern area.
In the step 3, the fitting formula between the fan root width and the depth of the dense well pattern area is as follows:
L root of Chinese character ＝e ((h/a)+b) ，
Where a, b are regional empirical constants.
In step 3, on the fitting formula between the fan root width and depth of the well pattern area, the average distribution width L of the target layer fan roots of different areas is obtained by combining the area layering depth data Are all ：
L Are all ＝(L Root 1 +L Root 2 …L Root i )/n
Wherein i is the nth test point of a single horizon, and n is the number of test points.
In step 4, for a well pattern area, based on the established in-sector, root-sub-phase identification pattern of the conglomerate sector, and by using a wave impedance inversion method of geophysical sensitivity attribute and multi-attribute modeling, the approximate range of the conglomerate sector distribution is predicted.
In step 4, based on the predicted rough range of the sector distribution of the conglomerate, the fitting formula between the width and depth of the sector roots of the dense well pattern area is used to obtain the dense sector root widths L of the conglomerate at different positions of a certain horizon of the thin well pattern area Average k K is the different position points of a certain layer in the area, and then the plane distribution range of the fan root is drawn on the plane.
In step 5, the width range of the sector roots of the non-effective reservoirs of the gritty rocks in a certain layer in the area can be removed by combining drilling data, so that the effective reservoir range of the area in a single layer is defined, and finally, the quantitative definition and evaluation of the effective trapping of the target layer section of the research area are realized.
In step 5, on the basis of quantitative marking and evaluation of effective trapping of the target layer segments of the research area, the method is further popularized to other target layer segments, and three-dimensional evaluation and prediction of effective trapping of a certain area are realized.
The invention discloses a quantitative circling evaluation method for a sandstone complex lithology trap effective reservoir, which relates to a method for identifying a sedimentary facies, determining the lower limit of the effective reservoir and determining the sector root width of the sandstone, and a quantitative evaluation method for comprehensively utilizing an oil-gas geological theory and a geophysical technology to quantitatively describe the sector root width of the sandstone sector, removing a sector root area on the basis, and then determining the effective reservoir range. The quantitative circle assessment method for the complex lithology trap effective reservoir of the gritty combines a geophysical method and a geological comprehensive statistical method on the basis of fully analyzing a sedimentary facies, a logging facies and an earthquake facies, quantitatively identifies the width of the compact strip root, eliminates the root, and can determine the development range of the effective reservoir of the gritty.
Drawings
FIG. 1 is a flow chart of one embodiment of a method for quantitative containment assessment of a complex lithology trap of a conglomerate of the present invention;
FIG. 2 is a schematic diagram of qualitative division of different phase zones of seismic attribute and root width of a conglomerate sector in area A according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a multi-method determination of regional reservoir pore physical property lower limit in region A in accordance with an embodiment of the present invention;
FIG. 4 is a graph showing the fitted relationship between the width of the root of the conglomerate fan and the depth of burial in area A according to an embodiment of the present invention;
FIG. 5 is a graph showing the profile of a complex trapped active reservoir of a sector of conglomerates in zone A in accordance with one embodiment of the present invention.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention. As used herein, the singular forms also are intended to include the plural forms unless the context clearly indicates otherwise, and furthermore, it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, and/or combinations thereof.
The invention provides a quantitative delineating and evaluating method of a complex lithology trap effective reservoir of a sandstone, which comprises the steps of analyzing sedimentary phase characteristics, logging phase characteristics and earthquake phase characteristics of different sub-phase types of a sector of the sandstone; determining the physical property lower limit of the effective reservoir by adopting a positive and negative accumulation method, an electrical property lower limit inverse algorithm, a pore structure method and a coring oil test verification method; extracting geophysical sensitivity attributes and wave impedance inversion based on multi-attribute modeling to predict a reservoir; based on well-seismic combination, reservoir physical property statistics is largely carried out to determine fan root widths at different depths, so that a quantitative relation between compact fan root widths and burial depths is established; finally, the width area of the compact fan root is removed, the spreading range of effective reservoirs of different sand groups can be definitely determined, and the quantitative evaluation of the complex trap of the regional sand is finally realized.
The following are several embodiments of the invention
Example 1
In a specific embodiment 1 to which the present invention is applied, the method for quantitatively evaluating the effective reservoir volume of the complex rock trap of the sandstone comprises the following steps:
(1) Based on comprehensive research of earthquake, well logging and rock core data, the data such as sand thickness map, sand-to-ground ratio, well logging phase and earthquake amplitude attribute characteristics are utilized to count the electrical characteristics such as resistivity, natural gamma and sound waves corresponding to gravel, coarse sand, medium fine sand, siltstone and mudstone, and meanwhile, attribute characteristics such as earthquake wave amplitude and frequency are counted, and wave impedance attribute inversion is carried out. On the basis, a qualitative recognition template of sector in sector, sector root and sub-phase of the sand in the research area is established;
(2) Fully utilizing a large amount of physical property statistical data, comprehensively utilizing a forward and reverse accumulation method, an electric lower limit inverse algorithm, a pore structure method and a coring oil test verification method to determine the physical property lower limit of the effective reservoir of the conglomerate fan body by using core physical property test analysis data, logging visual porosity and visual permeability data;
(3) Based on the determination of the physical property lower limit, counting the lateral width of the fan root corresponding to the physical property lower limit of each sand group tight reservoir of multiple well points in a tight well pattern area according to drilling data, and setting the width L of the tight fan root of different well points Root of Chinese character And correspond toThe depth h is fitted in an excel data table, and a fitting formula of the width and the depth of the compact fan root is obtained: l (L) Root of Chinese character ＝e ((h/a)+b) (where a, b are regional empirical constants). On the basis, the average distribution width L of the objective horizon fan roots of different areas is obtained by combining the area layering depth data Are all ＝(L Root 1 +L Root 2 …L Root i ) N (i is the nth test point of a single horizon, n is the number of test points);
(4) Aiming at a well pattern area, based on the established in-sector, root-sub-phase identification pattern of the conglomerate sector, and by utilizing geophysical sensitivity attribute, a wave impedance inversion method of multi-attribute modeling and the like, the approximate range of the conglomerate sector distribution is predicted. Based on the above, the above-mentioned close-well pattern region sand conglomerate fan root width-depth fitting formula (L) Root of Chinese character ＝e ((h/a)+b) ) Obtaining the dense root width L of the conglomerate at different position points of a certain layer of the thin well pattern area Average k (k is different position points of a certain layer in the area), and then drawing the plane distribution range of the fan root on the plane;
(5) Based on the analysis of the steps, by combining drilling data, the width range of the sector roots of the non-effective reservoirs of the sandstone in a certain horizon in the area can be removed, so that the effective reservoir range of the area in the single horizon is defined, and finally, the quantitative definition and evaluation of the effective trapping of the target interval of the research area are realized. On the basis, the method is further popularized to other target intervals, and three-dimensional evaluation and prediction of effective trapping of a certain area can be realized.
Example 2
In a specific embodiment 2 to which the present invention is applied, as shown in fig. 1, fig. 1 is a flowchart of a method for quantitatively evaluating a complex lithology trap effective reservoir of the present invention. The method for quantitatively enclosing and evaluating the effective reservoir of the complex lithology trap of the sandstone specifically comprises the following steps:
step 101, on the basis of comprehensively researching the data of earthquakes, well logging and rock cores, establishing an electric property and earthquake phase characteristic identification template (figure 2) of different phase bands of fanning root sub-phases in a sand body fanning body of a research area. In terms of electrical and seismic phase properties, such as conglomerates (GR: 138-160 API; AC: 55-62 μm/s; CNL: 3.8-6.8%; clutter emission characteristics on seismic profile), coarse sand (GR: 90-135 API; AC: 58-78 μm/s; CNL: 3.9-18%; seismic profile with medium-strong reflection characteristics), fine sand (GR: 85-120 API; AC: 65-80 μm/s; CNL: 7.6-17.6%; medium amplitude emission characteristics on seismic profile), mudstones (GR: 95-158 API; AC: 60-100 μm/s; CNL: 13.5-27.0%; strong amplitude emission characteristics on seismic profile). According to the characteristics, a lithology recognition plate is established, and then the division of different phase bands of the regional sector can be performed.
Step 102, based on the analysis, combining drilling, logging and physical property analysis test data, adopting a forward and reverse accumulation method, an electrical lower limit inverse algorithm, a pore structure method and a coring test oil verification method to carry out comparison analysis, and comprehensively determining the physical property lower limit (the porosity phi is less than or equal to 3.8%) of the effective reservoir layer of the objective horizon sandstone in the research area (figure 3);
step 103, based on the comprehensive analysis of steps 101 and 102, based on the determination of the physical property lower limit of the regional reservoir, counting the burial depths corresponding to the physical property lower limit points in the target horizon in the region, and obtaining the dense fan root widths L of different well points in the dense well pattern region Root of Chinese character And counting the corresponding depth h, and determining regional parameters a and b by combining the relation between the width of the fan root constructed by the steep slope zone and the buried depth, and obtaining a fitting formula of the dense fan root width and depth of the research area: l (L) Root of Chinese character ＝e ((h/903.26)+1.54) (FIG. 4);
104, modeling wave impedance inversion prediction method based on regional drilling geological data, seismic attributes and multiple attributes (fan root wave impedance Z is more than or equal to 9.5X10) 6 kg/(m 2 S), define the scope S of development of the conglomerate sector Fan with fan body Combining the existing sand fan root width-depth fitting formula of the dense well pattern area of the research area to obtain sand dense fan root width data (table 1) of different areas in the target layer of the thin well pattern area, and further outlining the fan root spreading range S on a plane Root of Chinese character ；
Table 1A table for statistics of the width predictions of the roots of the conglomerates in different areas of the 4 sand groups on the sand four of the well pattern area
Step 105, based on the analysis, eliminating the width of the non-effective reservoir sector roots of the objective layer section of the investigation region, and defining the spreading area S of the effective reservoir of the 4 sand group sandstone sector bodies on the sand four of the investigation region Effective and effective ＝S Fan with fan body -S Root of Chinese character Finally, the quantitative demarcation and evaluation of the effective reservoir of the 4 sand groups on the sand four in the area A are realized (figure 5).
Example 3:
in embodiment 3 to which the present invention is applied, the specific steps are as follows:
step S1, firstly, for the region B, on the basis of drilling, logging and seismic data analysis, a distribution range S of a sector is firstly carved by utilizing a seismic amplitude attribute Fan with fan body And according to the data such as coring, logging data and seismic amplitude attribute, etc., making statistical analysis so as to establish lithology and zone identification plate of zone B. Gravel in fan root area (GR: 110-130 API; AC: 50-75 mu m/s; CNL: 3.0-7.5%; clutter emission characteristic on seismic section), sand in fan (GR: 60-80 API; AC: 60-110 mu m/s; CNL: 15.8-30.5%; medium-strong reflection characteristic on seismic section), mud at fan (GR: 80-100 API; AC: 60-100 mu m/s; CNL: 13.5-27.0%; strong amplitude emission characteristic on seismic section). On the basis of the analysis, the distribution range of different phase bands of the region is further defined.
And S2, combining drilling, logging and physical property analysis test data of a target layer section in the area B, mainly adopting a forward and reverse accumulation method and an oil test method to perform comparison analysis on physical properties of the regional reservoir, and comprehensively determining the lower limit (the porosity phi is less than or equal to 3.2%) of the physical properties of the effective reservoir of the target layer sandstone in the research area.
Step S3, based on the comprehensive analysis of the steps S1 and S2, counting the dense fan root widths L of different well points in the dense well pattern area Root of Chinese character And counting the corresponding depth h, and determining regional parameters a and B by combining the relation between the width and the burial depth of the fan root constructed by the steep slope belt, and obtaining a fitting formula of the width and the depth of the compact fan root in the region B: l (L) Root of Chinese character ＝e ((h/890.3)+1.65) ；
Step S4, a wave impedance inversion prediction method based on regional drilling geological data, seismic attributes and multi-attribute modeling (fan root wave impedance Z is more than or equal to 12.0x10) 6 kg/(m 2 S), determining the development range S of the conglomerate sector in the well pattern area Fan with fan body Combining the existing sand fan root width-depth fitting formula of the dense well pattern area of the research area to obtain sand dense fan root width data (table 2) of different areas in the target layer of the thin well pattern area;
table 2 table B table for statistics of the root width predictions of the conglomerate fan in different areas of the sand-under-sand group in the well pattern area
Step S5, defining the width of the fan root of the three lower layer sections of the sand in different areas of the area B, and outlining the plane spreading area S of the abundant effective reservoir of the fan root Root of Chinese character And further, the spreading area S of the effective reservoir of the sand sector body of the lower layer section of the sand three in the area B can be defined Effective and effective ＝S Fan with fan body -S Root of Chinese character And finally, the quantitative demarcation and evaluation of the effective reservoir are realized.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but although the present invention has been described in detail with reference to the foregoing embodiment, it will be apparent to those skilled in the art that modifications may be made to the technical solution described in the foregoing embodiment, or equivalents may be substituted for some of the technical features thereof. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention. Other than the technical features described in the specification, all are known to those skilled in the art.
Claims (11)
1. The quantitative circle evaluation method for the effective reservoir of the complex lithology trap of the sandstone is characterized by comprising the following steps:
step 1, carrying out qualitative identification on the sector bands of the gritty by using geological and geophysical data;
step 2, determining the physical property lower limit of the effective reservoir of the conglomerate sector based on statistical analysis of test analysis data;
step 3, carrying out data statistical analysis, and establishing a fitting relation between the width and the depth of the fan root of the dense well pattern area;
step 4, carrying out prediction and delineation of the fan root width of the well pattern area based on the area fan root width-depth fitting relation;
and 5, eliminating the width of the fan root, delineating the area of the effective reservoir region and carrying out comprehensive evaluation.
2. The method for quantitatively defining and evaluating the effective reservoir for the complex lithologic trap of the gritty according to claim 1, wherein in the step 1, a qualitative recognition template of sector in the gritty and sector root subphase is established by utilizing the sand thickness map, the sand-to-ground ratio, the logging phase and the seismic amplitude attribute characteristics on the basis of comprehensively researching the data of earthquakes, logging and cores.
3. The method for quantitatively defining and evaluating the effective reservoir for the complex lithologic trap of the conglomerate according to claim 2, wherein in the step 1, the electrical characteristics of resistivity, natural gamma and sound waves corresponding to the conglomerate, the coarse sandstone, the medium fine sandstone, the siltstone and the mudstone are counted, the attribute characteristics of vibration amplitude and frequency of the vibration waves are counted, and the inversion of wave impedance attributes is carried out, so that a qualitative recognition template of sector, sector root subphase in the sandy sector in a research area is established on the basis.
4. The method for quantitatively defining and evaluating the effective reservoir for the complex lithological trap of the gritty according to claim 1, wherein in the step 2, physical statistics data including core physical property test analysis data, logging visual porosity and apparent permeability are utilized, and a forward and reverse accumulation method, an electrical lower limit inverse algorithm, a pore structure method and a coring test oil verification method are comprehensively utilized to process and statistically analyze the data, so as to determine the physical property lower limit of the effective reservoir of the gritty sector.
5. The method for quantitatively determining and evaluating the effective reservoir for the complex lithologic trap of the conglomerate, according to claim 1, is characterized in that in the step 3, on the basis of determining the physical lower limit, the transverse width corresponding to the physical lower limit of each sand group tight reservoir of a plurality of well points is counted in a tight well pattern area according to drilling data, and the tight fan root width L of different well points is calculated Root of Chinese character And fitting the depth h, and obtaining a fitting formula between the width and the depth of the fan root of the well pattern area.
6. The method for quantitatively evaluating the effective reservoir for the complex lithologic trap of the sandstone, as set forth in claim 5, wherein in the step 3, a fitting formula between the width and the depth of the fan roots of the dense well pattern area is obtained as follows:
L root of Chinese character ＝e ((h/a)+b) ，
Where a, b are regional empirical constants.
7. The method for quantitatively determining the effective reservoir for the complex lithologic trap of the conglomerate according to claim 6, wherein in the step 3, on the basis of a fitting formula between the obtained fan root widths and depths of the dense well pattern areas, the average distribution width L of the fan roots of the objective horizon of different areas is obtained by combining area layering depth data Are all ：
L Are all ＝(L Root 1 +L Root 2 …L Root i )/n
Wherein i is the nth test point of a single horizon, and n is the number of test points.
8. The method for quantitatively evaluating a complex lithologic trap effective reservoir of sandstone according to claim 1, wherein in step 4, the approximate range of the distribution of the sandstone sectors is predicted for the thin-well pattern area based on the established in-sector, root-sub-phase identification pattern and using a wave impedance inversion method of geophysical sensitivity attribute, multi-attribute modeling.
9. Root of Chinese characterThe method for quantitatively determining and evaluating the effective reservoir for the complex lithological trap of the conglomerate according to claim 8, wherein in the step 4, the dense root width L of the conglomerate at different positions of a certain horizon of the thin-well pattern area is obtained by using a fitting formula between the root width and the depth of the dense well pattern area on the basis of predicting the approximate range of the distribution of the conglomerate segments Average k K is the different position points of a certain layer in the area, and then the plane distribution range of the fan root is drawn on the plane.
10. The method for quantitatively defining and evaluating the effective reservoir for the complex lithologic trap of the conglomerate according to claim 1, wherein in step 5, the width range of the fan root of the ineffective reservoir of the conglomerate in a certain horizon in the area can be removed by combining drilling data, so that the effective reservoir range of the area in a single horizon can be defined, and finally, quantitative defining and evaluating of the effective trap of the target interval of the research area can be realized.
11. The method for quantitatively determining and evaluating the effective reservoir of the complex lithologic trap of the sandstone according to claim 10, wherein in step 5, on the basis of quantitatively determining and evaluating the effective trap of the target interval of the research area, the method is further popularized to other target intervals, and three-dimensional evaluation and prediction of the effective trap of a certain area are realized.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210749797.XA CN117348101A (en) | 2022-06-28 | 2022-06-28 | Method for quantitatively and quantitatively evaluating complex lithology trap of sandstone in effective reservoir |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210749797.XA CN117348101A (en) | 2022-06-28 | 2022-06-28 | Method for quantitatively and quantitatively evaluating complex lithology trap of sandstone in effective reservoir |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117348101A true CN117348101A (en) | 2024-01-05 |
Family
ID=89365552
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210749797.XA Pending CN117348101A (en) | 2022-06-28 | 2022-06-28 | Method for quantitatively and quantitatively evaluating complex lithology trap of sandstone in effective reservoir |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117348101A (en) |
-
2022
- 2022-06-28 CN CN202210749797.XA patent/CN117348101A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP3390445B2 (en) | Seismic trace analysis method using statistical calibration techniques to estimate geological properties | |
| Painter et al. | Fractional Lévy motion as a model for spatial variability in sedimentary rock | |
| CN108802812A (en) | Well-seismic fusion stratum lithology inversion method | |
| CN104516018B (en) | Porosity inversion method under lithological constraint in geophysical exploration | |
| CN111596364B (en) | Seismic sediment microphase combination analysis method based on high-precision sequence stratum grillwork | |
| CN106405642B (en) | Seismic inversion method for predicting reservoir based on de- compacting acoustic speed | |
| CN107356966A (en) | Based on removing compaction deep layer river channel sand gas-oil detecting method | |
| CN105353407A (en) | Post-stack earthquake wave impedance inversion method | |
| CN101236257A (en) | Oil well location determination technical method | |
| CN109541685B (en) | River channel sand body identification method | |
| CN105525917B (en) | The method for identifying fluid type in the method and identification reservoir of reservoir | |
| Wimmers et al. | Integration of sedimentology, petrophysics and rock typing as key to understanding a tight gas reservoir | |
| CN112698399A (en) | Gravel well seismic-logging linkage constraint efficient reservoir quantitative prediction method and system | |
| CN103412335B (en) | A kind of method utilizing earthquake thing phase body predicting reservoir | |
| CN105116449A (en) | Method for identifying weak reflection reservoir | |
| CN112505754B (en) | Method for collaborative partitioning sedimentary microfacies by well-seismic based on high-precision sequence grid model | |
| Liu et al. | The Control Theory and Application for Well Pattern Optimization of Heterogeneous Sandstone Reservoirs | |
| CN103278852B (en) | Utilize the method for seismic data volume waveform configuration characteristic model predicting oil/gas | |
| CN114185083B (en) | Quantitative evaluation method for fault sealing in clastic rock stratum | |
| CN116027416A (en) | Method for identifying lithology trap of gravel rock mass | |
| CN117348101A (en) | Method for quantitatively and quantitatively evaluating complex lithology trap of sandstone in effective reservoir | |
| CN113376692B (en) | Method and device for optimizing fracturing modification scheme of tight sandstone gas horizontal well | |
| CN115387785A (en) | Sea-facies carbonate-cuttings limestone reservoir high-permeability strip identification method and device | |
| CN114482995A (en) | Fine determination method for argillaceous content of fine-grain sediment | |
| CN113514884A (en) | Compact sandstone reservoir prediction method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |