CN105116447B - A kind of geology river course discriminating direction method based on curvature anomalies band - Google Patents
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Abstract
The present invention relates to a kind of geology river course discriminating direction method based on curvature anomalies band, comprise the following steps：1) curvature estimation is carried out to the seismic waveform in original seismic data, obtains curvature anomalies body, and maximum curvature plane properties extraction is carried out to curvature anomalies body purpose of horizon, obtain the maximum curvature plane properties of curvature anomalies body purpose of horizon；2) denoising is carried out to the maximum curvature plane properties of curvature anomalies body purpose of horizon；3) according to the maximum curvature plane properties obtained after denoising, the single river course band of identification, including：301) the plane subregion of maximum curvature plane properties is carried out, curvature anomalies band distributed area is obtained, each curvature anomalies band distributed area is the border of single river course band；302) logging response character analysis is carried out to the abnormal band distributed area of different curvature, to correct single river course band border；4) inside each curvature anomalies band distributed area, each curvature anomalies band is sequentially connected in series, it is determined that single river course internal advantages main stream line direction.
Description
Technical field
The present invention relates to exploratory engineering of off-shore petroleum/gas reservoir exploitation geological technique field, curvature anomalies band is based on especially with regard to one kind
Geology river course discriminating direction method.
Background technology
Complicated fluvial facies oil reservoir based on meandering stream deposit reservoir occupies critical role in China's developed field, should
Class reservoir is faced with that flooding pattern imperfection, waterflooding effect are undesirable, reserves exploitation degree is low in waterflooding extraction, adjustment well portion
The problems such as difficulty is big is affixed one's name to, Geological Reasons of searching to the bottom still recognize unclear for river channel sand spreading direction.Onshore oil field Mi Jing
The net of research under the conditions of to(for) river channel sand is highly developed, perfect to have developed configuration fine dissection technology and theory,
Research precision can be goed deep into point bar private side lamination level.Under conditions of 50m or so dense well spacings, aid in horizontal well, core hole,
The data such as Production development, can accurately judge river course spreading direction, even for river course inside by being contrasted between fine well
Dominant flowing path under the influence of the lamination of side can also be judged.
Marine fluvial depositional reservoir exploitation is far different with onshore oil field, is limited by platform size and development cost limits to be formed
The characteristics of wide spacing, wide spacing, therefore land theory and method based on well is difficult popularization and application, is more by height
The earthquake information of the precision attribute different by exploring realizes the prediction for river course spreading direction.But connect for side stacked
Sheet sand body, sand body plane all directions are moniliform distribution feature so that the attribute of conventional reflection sand thickness change
It is difficult to effectively judge river course spreading direction, scientific research personnel has also done substantial amounts of research work for this, to ensure result of determination
Authenticity and reasonability, but due to Research Thinking and Geological Mode it is cognitive the problem of, there is no larger progress all the time.
The content of the invention
In view of the above-mentioned problems, the purpose of the present invention is to provide a kind of geology based on curvature anomalies band for offshore oilfield
River course discriminating direction method, can accurately judge side stacked sand body inside river course direction in flakes.
To achieve the above object, the present invention takes following technical scheme：A kind of geology river course based on curvature anomalies band
Discriminating direction method, comprises the following steps：1) curvature estimation is carried out to the seismic waveform in the original seismic data in oil field, obtained
The curvature anomalies body of original seismic data, and maximum curvature plane properties extraction is carried out to curvature anomalies body purpose of horizon, obtain
The maximum curvature plane properties of curvature anomalies body purpose of horizon；2) to the maximum curvature plane properties of curvature anomalies body purpose of horizon
Carry out denoising；3) it is in itself and different from single river course band response according to the maximum curvature plane properties obtained after denoising
Difference between single river course band response is set about, the single river course band of identification, specifically includes following steps：301) inside according to single river course band
Curvature anomalies band feature is close, and this variant principle of curvature anomalies band feature carries out most Daqu between different list river courses band
The plane subregion of rate plane properties, obtains curvature anomalies band distributed area, and the border in each curvature anomalies band distributed area is
Correspondence list river course band border；302) logging response character analysis is carried out to the abnormal band distributed area of different curvature, marked by recognizing
Will further recognizes the border of single river course band, to correct single river course band border；4) in the curvature anomalies band distributed area of division
Portion, is sequentially connected in series each curvature anomalies band, it is determined that single river course band internal advantages main stream line direction, advantage main stream line direction is list
River course band direction.
The step 2) denoising is carried out to the maximum curvature plane properties of curvature anomalies body purpose of horizon, including it is following
Step：201) tomography in curvature anomalies body purpose of horizon is identified and explained first, and cut curvature anomalies one by one
The seismic profile of band, then draws a circle to approve the region of faulting；202) to maximum curvature plane properties value in each delineation region
Unified assignment is carried out, the maximum curvature plane properties value being entered as outside 0, delineation region keeps constant；203) after according to new assignment
Maximum curvature plane properties value, re-start maximum curvature plane properties into figure, obtain the maximum curvature plane after denoising
Attributed graph.
The step 203) in maximum curvature plane properties plane into figure using petrel softwares make surface
Module is realized.
The step 302) in logging response character analyze distinguishing mark include difference in thickness, tracing pattern and research
The distribution in area.
The present invention is due to taking above technical scheme, and it has advantages below：1st, the present invention passes through original seismic data meter
Curvature anomalies body is calculated, and extracts non-uniform Distribution in the maximum curvature plane properties of curvature anomalies body purpose of horizon, attributed graph
Linear delineation region is referred to as curvature anomalies band, because the different single river course bands in the stacked inside of sand body in flakes are in curvature anomalies band
All difference, therefore most Daqu is at sea combined under conditions of wide spacing, wide spacing in plane distribution and logging response character
The rate plane properties mean curvature exception Distribution Pattern of band, the tracing pattern of each well point and characteristics of combination spatially, can be with
The comprehensive single river course band of identification, overcomes the difficulty of offshore oilfield wide spacing, wide spacing, improves in side stacked in flakes sand body
The cognition degree in portion list river course direction, for the deployment of oil field development flooding pattern, Tapping Residual Oil provides strong support.2、
The present invention effectively make use of marine high-precision earthquake by the introducing and the deciphering of corresponding Geological Mode of curvature anomalies band
Data, and it is workable, for geology experiences, not enough physical prospecting personnel can also quickly grasp；3rd, the present invention focuses on from Dan He
Road band is in itself and the difference between different single river course bands is set about, and utilizes the abnormal band distribution of maximum curvature plane properties mean curvature
Difference carries out plane subregion and single river course logging response character correction analysis two-step method itself determines single river course band border, therefore not
It is same as determining to rely on transition of single river course with border distinguishing mark during single river course band under the conditions of dense well pattern.4th, the present invention is not only fitted
For meandering stream type river channel sand, it can also be applied among distributary channel molding sand body.The present invention can be widely applied to sea
River channel type is in flakes in the exploitation of sand body under the conditions of the wide spacing of oil field.
Brief description of the drawings
Fig. 1 is that mean curvature anomalous body maximum curvature of embodiment of the present invention plane properties are extracted and the delineation of faulting region is shown
It is intended to, wherein, arrow meaning region is the region that maximum curvature plane properties are disturbed by faulting；
Fig. 2 is the maximum curvature plane properties figure after denoising in the embodiment of the present invention, wherein, the line of non-uniform Distribution
Property delineation region be referred to as curvature anomalies band；
Fig. 3 is the plane point of curvature anomalies band on maximum curvature plane properties in the embodiment of the present invention after denoising
Qu Tu；
Fig. 4 is river course pattern classification synthesis identification schematic diagram in the embodiment of the present invention；
Fig. 5 is different type river course flat distribution map in the embodiment of the present invention；
Fig. 6 is single river course band border schematic diagram after correcting in the embodiment of the present invention, wherein, "+" represents to study area's well location,Amendment Hou① areas border is represented,Amendment Hou② areas border is represented,Represent after amendment
3. area border；
Fig. 7 is river course advantage main stream line schematic diagram in the embodiment of the present invention, wherein, "+" represents to study area's well location,Amendment Hou① areas border is represented,Amendment Hou② areas border is represented,Represent after amendment
3. area border,Represent river course advantage main stream line.
Embodiment
The present invention is described in detail with reference to the accompanying drawings and examples.
The geology river course discriminating direction method based on curvature anomalies band that the present invention is provided, comprises the following steps：
1) curvature estimation is carried out to the seismic waveform in the original seismic data in oil field using existing computational methods, obtained
The curvature anomalies body of original seismic data, curvature anomalies body refers to data of the seismic waveform curvature in the change of three dimensions
Body, and maximum curvature plane properties extraction is carried out to curvature anomalies body purpose of horizon using existing method, obtain curvature anomalies
The maximum curvature plane properties of body purpose of horizon；
2) denoising is carried out to the maximum curvature plane properties of curvature anomalies body purpose of horizon, denoising refers to pass through
Analysis eliminates the curvature anomalies band that maximum curvature plane properties interrupting layer interference effect is produced, and retains river channel sand sedimentary origin
Curvature anomalies band, sedimentary origin mainly includes that sand body is stacked or horizontal pinching, wherein, denoising comprises the following steps：
201) tomography in curvature anomalies body purpose of horizon is identified by the way of existing flat cutting is interactive first
And explanation, and the seismic profile of curvature anomalies band was cut one by one, then draw a circle to approve the region of faulting；
202) unified assignment is carried out to maximum curvature plane properties value in each delineation region, is entered as outside 0, delineation region
Maximum curvature plane properties value keep it is constant；
203) according to the maximum curvature plane properties value after new assignment, re-start maximum curvature plane properties into figure,
The maximum curvature plane properties figure after denoising is obtained, wherein, maximum curvature plane properties into figure can use petrel softwares
Make surface modules realize.
3) according to the maximum curvature plane properties obtained after denoising, from single river course band response in itself and different single river course
Set about with the difference between response, the single river course band of identification specifically includes following steps：
301) it is close according to single abnormal band feature of river course band inner curvature, curvature anomalies band between different list river courses band
Variant this principle of feature carries out the plane subregion of maximum curvature plane properties, and then obtains curvature anomalies band block plan,
The border of each curvature anomalies ribbon area is the border of single river course band；
302) logging response character analysis is carried out to the abnormal band distributed area of different curvature, further known by distinguishing mark
The border of not single river course band, to correct single river course band border, wherein, the distinguishing mark of logging response character analysis includes：
A, difference in thickness：Due to the difference that different river course shaping age hydrodynamic conditions and material resource are supplied, in sand thickness
Difference necessarily occurs, therefore can be distinguished according to the total sand thickness of combination channel, average sand thickness and single phase sand thickness
Different list river channel sands；
B, tracing pattern：Different channel deposits cause the difference on log response characteristics because of the difference of prop-carrying capacity,
From the perspective of statistics, the similar probability of same river channel sand tracing pattern is significantly larger than different river channel sand tracing patterns
Difference；
C, the distribution in research area：According to the principle of the identical origin cause of formation in similar river course, determine that different type river course is being ground
Study carefully area's proportion and plane distributing scope；
Integrated really by studying the difference in thickness on area's log, tracing pattern difference, the distribution in research area
The border of order river course band.
4) inside each curvature anomalies band distributed area of division, each curvature anomalies band is sequentially connected in series, it is determined that single river
Road band internal advantages main stream line direction, the sedimentary evolution in river course is a mistake swung along with the continuous lateral migration of flood event
Journey, but can be fixed within a certain range in a certain fixed time period single river channel band, main stream line also can relative advantage concentrate on the model
Enclose, therefore advantage main stream line direction is single river course band direction, so far completes river course direction determining.
Embodiment：
Q oil fields are located in the middle part of Bohai Offshore, are a Large River phase sandstone viscous crude fields, main oil-bearing series is recently
Xi Minghua towns group hypomere and Guantao group, wherein, Ming Hua towns group hypomere can be divided into Nm0, Nm I, Nm II, Nm III, Nm IV and Nm V
Totally 6 oily groups.Reservoir is based on positive rhythm and compound rhythm meander river course sedimentary sand bodies.Forefathers are according to configuration characteristic, by the ground
Qu Mingization town group fluvial sandstone is divided into stacked, side stack-type and the type of stand alone 3.For side stack-type sand body, most significantly
Feature is exactly that channel migration swing ability is relatively strong, in the horizontal the migration with certain orientation, and river channel sand is laterally taken
Connect, aggregate performance is that shape is distributed sand body in flakes, and reflection line-ups are connected on seismic profile, but unconspicuous flexure is presented in waveform
(being not turned off).For this region, geology river course discriminating direction is carried out using the present invention and comprised the following steps：
1) calculated on the basis of the original seismic data in Q oil fields, obtain the curvature anomalies body of original seismic data,
And maximum curvature plane properties extraction is carried out for curvature anomalies body purpose of horizon, obtain the maximum of curvature anomalies body purpose of horizon
Curvature plane properties；
Curvature is a kind of two dimensional character of curve from the principle, and it describes the degree of crook that certain is put on curve, for
The amplitude of waveform, the various variations in detail responses such as form are obvious, therefore curvature attributes can be very good reflection tomography, sedimentary sand bodies
The feature on stacked border.
2) denoising is carried out to the maximum curvature plane properties of curvature anomalies body purpose of horizon, concretely comprised the following steps：
201) tomography in curvature anomalies body purpose of horizon is identified and explained by the way of flat cutting is interactive first
(earthquake speciality personnel grasp), and the seismic profile of curvature anomalies band was cut one by one, then draw a circle to approve the area of faulting
Domain (as shown in Figure 1)；
202) unified assignment is carried out to maximum curvature plane properties value in each delineation region, is entered as outside 0, delineation region
Maximum curvature plane properties value keep it is constant；
203) according to the maximum curvature plane properties value after new assignment, re-start maximum curvature plane properties into figure,
Obtain the maximum curvature plane properties figure (as shown in Figure 2) after denoising；
3) according to the maximum curvature plane properties obtained after denoising, from single river course band response in itself and different single river course
Set about with the difference between response, the single river course band of identification specifically includes following steps：
301) the plane subregion of maximum curvature plane properties is carried out, curvature anomalies band distributed area, each curvature is obtained
The border in abnormal band distributed area is the single river course band border of correspondence；
The sand body in flakes of distribution is laterally spliced by a plurality of river course in certain limit on Plain, but different times
Single river course material resource supply whether sufficient, hydrodynamic intensity can cause the difference inside the type of river, be embodied in maximum curvature plane
It is then the regular change of curvature anomalies band on attribute, as shown in Figure 3, it can be seen that three curvature anomalies band distributions
Area, 1. area, 2. area and 3. between area curvature anomalies band from quantity, distribution density degree, transverse and longitudinal extension and arrangement
There is very big difference in regularity, 1. curvature anomalies bin number in area's is more, densely distributed, and transverse and longitudinal extension length, NW trending
Align regular obvious；2. curvature anomalies bin number in area's is few, and distribution is sparse, and transverse and longitudinal expanded range is short, and NW trending is fixed
It is more obvious to arrangement regulation；3. area's curvature anomalies bin number Shang compare ① areas are few, many compared with 2. area, and distribution is intensive compared with 2. area,
But NW trending aligns feature and may be seen indistinctly.
302) logging response character analysis is carried out to the abnormal band distributed area of different curvature, further known by distinguishing mark
The border of not single river course band, to correct single river course band border, detailed process is：
First, different river channel sands are identified according to individual well log response characteristics, wherein, the natural electricity of river channel sand
Position (SP, spontaneous potential) and gamma (GR, natural gamma ray) log show as box or
Bell；Then, further each type is divided in difference in thickness, tracing pattern, in the distribution in research area in detail
Analysis；Finally, the corresponding river pattern of every mouthful of well is projected in research area, and corrects and improve step 301) single river course band knot
Really.As shown in figure 4, specific distinguishing mark is as follows：A, difference in thickness；B, tracing pattern difference；C, the distribution model in research area
Enclose；As shown in figure 5, wherein, D, M, S represent different types of river course respectively, different types of river course is in the spy that East and West direction is distributed
Levy.
By studying the difference in thickness on area's log response characteristics, tracing pattern difference, the distribution model in research area
The border (as shown in Figure 6) for determining single river course band can be integrated by enclosing.
4) in step 301) inside obtained curvature anomalies band distributed area, each curvature anomalies band is sequentially connected in series, so far
Complete river course direction determining (as shown in Figure 7).
The various embodiments described above are merely to illustrate the present invention, wherein the structure of each part, connected mode and manufacture craft etc. are all
It can be varied from, every equivalents carried out on the basis of technical solution of the present invention and improvement should not be excluded
Outside protection scope of the present invention.
Claims (4)
1. a kind of geology river course discriminating direction method based on curvature anomalies band, comprises the following steps：
1) curvature estimation is carried out to the seismic waveform in the original seismic data in oil field, obtains the curvature anomalies of original seismic data
Body, and maximum curvature plane properties extraction is carried out to curvature anomalies body purpose of horizon, obtain curvature anomalies body purpose of horizon most
Deep camber plane properties；
2) denoising is carried out to the maximum curvature plane properties of curvature anomalies body purpose of horizon；
3) according to the maximum curvature plane properties obtained after denoising, from single river course band response in itself and different single river courses band rings
Difference between answering is set about, the single river course band of identification, specifically includes following steps：
301) it is close according to single abnormal band feature of river course band inner curvature, curvature anomalies band feature between different list river courses band
This variant principle carries out the plane subregion of maximum curvature plane properties, obtains curvature anomalies band distributed area, and each is bent
The border in rate exception band distributed area is the single river course band border of correspondence；
302) logging response character analysis is carried out to the abnormal band distributed area of different curvature, list is further recognized by distinguishing mark
The border of river course band, to correct single river course band border；
4) inside the curvature anomalies band distributed area of division, each curvature anomalies band is sequentially connected in series, it is determined that inside single river course band
Advantage main stream line direction, advantage main stream line direction is single river course band direction.
2. a kind of geology river course discriminating direction method based on curvature anomalies band as claimed in claim 1, it is characterised in that：
The step 2) denoising is carried out to the maximum curvature plane properties of curvature anomalies body purpose of horizon, comprise the following steps：
201) tomography in curvature anomalies body purpose of horizon is identified and explained first, and cut curvature anomalies bar one by one
The seismic profile of band, then draws a circle to approve the region of faulting；
202) unified assignment is carried out to maximum curvature plane properties value in each delineation region, is entered as outside 0, delineation region most
Deep camber plane properties value keeps constant；
203) according to the maximum curvature plane properties value after new assignment, re-start maximum curvature plane properties into figure, obtain
Maximum curvature plane properties figure after denoising.
3. a kind of geology river course discriminating direction method based on curvature anomalies band as claimed in claim 2, it is characterised in that：
The step 203) in maximum curvature plane properties plane into figure using petrel softwares make surface modules realize.
4. a kind of geology river course discriminating direction method based on curvature anomalies band as described in claim 1 or 2 or 3, it is special
Levy and be：The step 302) in logging response character analyze distinguishing mark include difference in thickness, tracing pattern and research
The distribution in area.
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| CN107918150A (en) * | 2016-10-10 | 2018-04-17 | 中国石油化工股份有限公司 | Based on single river recognition methods under offshore oilfield wide spacing |
| CN108022295B (en) * | 2017-11-20 | 2021-04-27 | 长江大学 | Method and system for identifying hyperosmotic zone between two wells |
| CN113048992A (en) * | 2019-12-26 | 2021-06-29 | 阿里巴巴集团控股有限公司 | Evaluation method, navigation method, device and readable storage medium |
| CN111997604B (en) * | 2020-10-16 | 2023-12-08 | 陕西延长石油（集团）有限责任公司 | Single-stage river boundary identification method |
| CN112269208B (en) * | 2020-11-04 | 2023-08-01 | 中石化石油工程技术服务有限公司 | Seismic attribute continuous mapping method crossing three-dimensional seismic work area |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102200588A (en) * | 2011-03-22 | 2011-09-28 | 成都理工大学 | Method for analyzing waveform similarity body curvature of seismic data |
| CN103901478A (en) * | 2012-12-28 | 2014-07-02 | 中国石油天然气集团公司 | Method for determining deposition characteristics and distribution of reservoirs by combining logging and seismic information |
| 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 |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100397141B1 (en) * | 2000-04-12 | 2003-09-13 | 재단법인서울대학교산학협력재단 | Seismic Load Transmitting System with Dual Curvatures Impacting Surface For Multi-span Continuous Bridges |
| EP3042223A4 (en) * | 2013-09-03 | 2017-03-15 | University of Houston System | System and method for estimating seismic anisotropy with high resolution |
-
2015
- 2015-08-14 CN CN201510500944.XA patent/CN105116447B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102200588A (en) * | 2011-03-22 | 2011-09-28 | 成都理工大学 | Method for analyzing waveform similarity body curvature of seismic data |
| CN103901478A (en) * | 2012-12-28 | 2014-07-02 | 中国石油天然气集团公司 | Method for determining deposition characteristics and distribution of reservoirs by combining logging and seismic information |
| 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 (3)
| Title |
|---|
| 3D curvature attributes: a new approach for seismic interpretation;Pascal Klein 等;《Visualization/Interpretation》;20080430;第26卷;第105-112页 * |
| 曲率属性在3D地面地震资料中的应用;Satinder Chopra 等;《油气地球物理》;20071031;第5卷(第4期);第50-59页 * |
| 西非深水Preowei构造复杂断裂精细解释及沉积体刻画;李明娟 等;《石油物探》;20130531;第52卷(第3期);第294-300页 * |
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