CN106504328A - A kind of complex geological structure modeling method reconstructed based on sparse point cloud surface - Google Patents

A kind of complex geological structure modeling method reconstructed based on sparse point cloud surface Download PDF

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CN106504328A
CN106504328A CN201610971549.4A CN201610971549A CN106504328A CN 106504328 A CN106504328 A CN 106504328A CN 201610971549 A CN201610971549 A CN 201610971549A CN 106504328 A CN106504328 A CN 106504328A
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subpoint
distance
seed point
projection plane
section
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鲁才
宋三泰
胡光岷
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University of Electronic Science and Technology of China
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/30Polynomial surface description

Abstract

The present invention discloses a kind of complicated geological construction method reconstructed based on sparse point cloud surface, and the geologic horizon that the application consideration is reversed in geological structure has the situation of multiple value in subregion, it is impossible to the problem processed using traditional grid method;Propose the thought of projection plane, will primordial seed point data upright projection in certain plane, Delaunay triangulation network connection is carried out in the plane, then the one-to-one relationship by seed point with subpoint recovers space triangular net, so as to complete complicated geological surface reconstruction, the selection of projection plane is converted to mathematical model of optimization wherein, and is converted into convex optimization problem again and is carried out rapid solving.

Description

A kind of complex geological structure modeling method reconstructed based on sparse point cloud surface
Technical field
The invention belongs to geological technique field, and in particular to a kind of complex geological structure modeling method.
Background technology
With continually developing for oil-gas reservoir, three-dimensional geological modeling plays more and more important role, and it is used as oil-gas reservoir During exploration and development, most basic most important research work, not only can provide capsule information for developing of reservoirs, Geological personnel can be allowed to have subsurface geological structure more accurately cognitive, therefore, for the research of three-dimensional geological modeling technology shows Obtain ever more important.Three-dimensional geological modeling is that foundation can be accurately reflected out based on the initial data such as borehole data, profile The digital model of subsurface geological structure, used as most important part in three-dimensional geological modeling, i.e. construction modeling, it is mainly logical Crossing carries out seismic interpretation to initial data and obtains series of discrete point data, is then processed by interpolation, surface reconstruction etc. and is obtained The closing block model of description subsurface geological structure, i.e. geological structure model.With the continuous progress of geological exploration techniques, people Need to become apparent from underground geological condition, comprehensively cognitive, and traditional exploration engineering and modeling method can not meet people Higher requirement, therefore, for the research of three-dimensional geologic structure modeling technique is also to seem more and more important.
In three-dimensional geologic structure modeling, the research work of complex geological structure modeling is necessary, and which is complicated Property is mainly reflected in:Geologic body is subject to the tectonic stress effect of some strength and deforms upon, and has eventually formed tomography or fold, The two is the main representative of complex geological structure.They destroy original geologic structure, and wherein, tomography is presented as geology not Continuous modification, is divided into normal fault, offlap, vertical fault and reversed fault according to its trend for deforming, and fold is presented as ground The continuous modification of matter.
Although numerous scholars both domestic and external are more and more to the research of the three-dimensional construction modeling method of complex geologic body, people For the construction Modeling Method of the research mainly based on tomography of complex geological structure modeling, i.e. normal fault, translation Tomography, vertical fault and reversed fault.Now, for the method for the complex geological structure modeling containing tomography is also relatively ripe, And for the research of the complex geological structure modeling method containing fold is relatively very few, so far, also there is no a kind of relative maturity Method be applied to all containing fold complex geological structures modeling.
With geology and science and technology progress and development, three-dimensional geologic structure modeling have become digitlization with visual Change important one side, now, a large amount of scholars both domestic and external have put into the further investigation work of complex geological structure modeling Central.Its complexity is acted on by tectonic stress mainly due to geologic body so that geologic body is deformed upon, and is destroyed original Topological structure and the continuity of geologic body, are divided into tomography and fold according to deformation tendency, and the two is the main of complex geological structure Represent.
Complex geological structure modeling basic procedure be exactly:It is base according to the original point cloud data that geology scout obtains Plinth, fits geological interface, such as layer position curved surface and tomography curved surface using related geological surface reconstructing method.Then according to geology Topological relation and restriction relation between curved surface, carries out well-regulated cutting to geology FEM layer model, with tomography curved surface is finally Construct the block geological model of closing in border.
Surface Reconstruction basic thought in geology field is exactly:Interpolation processing is carried out to seed point data, then is adopted Traditional grid cutting algorithm:The process such as polygon, subdivision triangle is attached, geological surface reconstruct is finally completed.By In the openness of geology initial data, if carrying out surface fitting only with original point cloud data, reconstructing geological surface may Can be more uneven, coarse, in order to construct the geological surface of more fairing, need to carry out curved surface using the technology of mesh generation Reconstruct, and mesh generation is needed first with spatial interpolation technology.The spatial interpolation methods that commonly uses in geology field mainly have instead Than distance weighting method, Ke Lijin etc..Conventional space curved surface mesh generation technology is generally divided into rectangular mesh subdivision and the triangulation network Lattice subdivision, in the case of going the form for describing plane and curved surface to go for any complexity by triangle, so, Can more using the method for triangulation in geological surface fitting.
1989, Mallet et al. proposed discrete smooth interpolation method, and the method is applied to three-dimensional construction modeling Central, this is a key technology in complex geological structure modeling.1992, Mallet was by the Technology application to geometrical model Build.Lorensen et al. proposed Marching Cubes algorithms in 1987, and the method is obtained in construction contour surface It is widely applied.2002, Marching Cubes algorithms were applied to Marching Cubes algorithms by Yuan Guodong et al. In the middle of surface reconstruction algorithm.2008, Wei Jia et al. combined Marching Cubes algorithms and constraint Delaunay triangles are cutd open Divide algorithm and apply to the reconstruction of geological surface, achieve preferable effect.After geological surface reconstruct is completed, in order to build most Closing bulk geological model afterwards, needs to carry out at cutting curved surface according to the restriction relation between geological surface and topological relation Restriction relation and topological relation that reason, Euler et al. go to determine space curved surface there is provided complete method.
For complex geological structure is modeled, the most complicated geological still based on tomography of lot of domestic and foreign scholar's research Construction modeling, wherein most important most basic research work is exactly the successful structure of sectional model.2006, Xu Nengxiong et al. was carried Go out the complex geological structure based on hexahedral mesh subdivision to model, and achieve preferable effect.2007, wait health et al. The method for proposing wire frame component, the structure for closely matter block model provide new thinking.2012, stone was kindly helped secure the success of et al. Proposing " point-line-face-body " four step rule carries out fault tectonic modeling.2014, Wang Wei et al. was by constraining Delaunay triangles The method of subdivision reconstructs geological stratum and fault plane, and being finally stitched together using certain rule, it is block to define closing Model of geological structure body.
For another kind of situation of complex geological structure, i.e. overfold, scholar both domestic and external to this research relatively very Few, 2000, Wei Honggu et al. proposed the method for piecemeal modeling to carry out reversing construction modeling, will STRATIGRAPHIC DIVISION be three Part, then to each part adopt no construction modeling method, finally by these three partially synthetic after be obtained many The closing model of geological structure body of stratum fold building.But the shortcoming of the method is exactly last when three parts are synthesized, side Boundary occurs problem.
So far, for the three-dimensional modeling of complex geological structure, the most complicated structure of numerous scholar's research both domestic and external Makes all be often i.e. normal fault, offlap, vertical fault and reversed fault based on geological fault.And it is this multiple for reversing The research of the three-dimensional construction modeling technique of miscellaneous geology is very few, once had scholar to propose in the case where geological structure is reversed, and adopted With piecemeal model method, will stratum be divided into 3 parts so that situation of each part without multiple value, then to per A part adopts different modeling methods, can obtain the closing block model for reversing construction after finally merge 3 parts.But It is that border occurs problem, is defective in this approach due to last when 3 parts are merged in the method.
Content of the invention
The present invention is solution above-mentioned technical problem, it is proposed that a kind of complex geological structure reconstructed based on sparse point cloud surface Modeling method, after successfully layer model is constructed, carries out Seal treatment according to certain rule to its side, finally obtains envelope The inversely quality structure that closes makes block model, solves the problems, such as to reverse the three-dimensional construction modeling of geology.
The technical solution used in the present invention is:A kind of complex geological structure modeling side reconstructed based on sparse point cloud surface Method, including:
S1, selection projection plane;
S2, step S1 choose projection plane on carry out Delaunay triangulation network connection obtain two dimension triangle net topology Structure;
S3, the three-dimensional triangulation network is recovered by the one-to-one relationship of primordial seed point and subpoint, complete three Dimension space reverses geology surface reconstruction.
Further, step S1 include following step by step:
S11, set up projection plane, for by primordial seed point data upright projection to the plane;
S12, optimal model is set up, by the Maximizing Minimum Distance between subpoint;
S13, the optimal model of step S12 is converted into minimization maximum problem;
S14, the minimization maximum problem obtained according to Definition of Convex Function solution procedure S13, obtain best projection plane.
Further, step S11 also includes:The projection plane meets:
(1) without weight values point;The distance of any two subpoint is all higher than 0;
(2) sequence constraint relation;Adjacent 3 primordial seed point corresponding 3 subpoint, first subpoint are traveled through successively It is more than the distance of first subpoint and second subpoint, and first subpoint and the 3rd with the distance of the 3rd subpoint The distance of individual subpoint is more than second subpoint and the distance of the 3rd subpoint.
Further, the optimal model of step S12 is specially:
Target variable:b
Object function:min(d(pi,pj)) → max, i=1,2 ..., n;J=1,2 ..., n;i≠j
Constraints:d(pi,pj)>0, i=1,2 ..., n;J=1,2 ..., n;i≠j
d(pj-1,pj+1)-d(pj-1,pj)>0, j=2,3 ..., ni-1;I=1,2 ..., m
d(pj-1,pj+1)-d(pj,pj+1)>0, j=2,3 ..., ni-1;I=1,2 ..., m
Wherein, b represents target variable, d (pi,pj) represent the distance between i-th subpoint and j-th subpoint, niTable Show that the seed points of each section, m represent the number of section.
Further, step S13 specifically include following step by step:
The distance between S131, the characteristic according to the architectonic seed point data of reversing, the seed point on single section Relatively intensive, and distance is relatively sparse between the seed point between section and section, by the optimization mould of step S12 Type is converted into the minimum problems of the distance between the corresponding subpoint of two neighboring seed point on single section;
S132, according to constraints:The distance of any two subpoint is all higher than 0, it is known that between two neighboring subpoint Distance be more than 0, by the minimum of the distance between corresponding subpoint of two neighboring seed point on the single section of step S131 Value problem, the maximum for being converted into the inverse of the distance between the corresponding subpoint of two neighboring seed point on single section are minimum Change problem;
S133, it is to be directly proportional according to the distance between any two subpoint to the difference of their ordinate, by step The Min-Max problem of the inverse of the distance between corresponding subpoint of two neighboring seed point on the single section of S132, It is converted into the maximum minimization problem of the distance between the corresponding subpoint of two neighboring seed point on single section.
Further, step S14 is specially:Increased based on ordinate successively, the corresponding projection of primordial seed point The respective ordinate of point increases successively, obtains the effective range of projection plane, that is, obtains best projection plane.
Beneficial effects of the present invention:Present invention firstly provides for reversing architectonic processing method, it is considered to reverse There is the situation of multiple value in the geologic horizon in geological structure, it is impossible at traditional grid method in subregion Reason;It is therefore proposed that the thought of projection plane, will primordial seed point data upright projection in certain plane, enter in the plane Row Delaunay triangulation network connects, and then the one-to-one relationship by seed point with subpoint recovers space triangular net, from And complicated geological surface reconstruction is completed, the selection of projection plane is converted to mathematical model of optimization wherein, and is converted again For convex optimization problem and carry out rapid solving;The method of the present invention.
Description of the drawings
Fig. 1 is that the embodiment of the present invention reverses geology surface reconstruction flow chart;
Fig. 2 implements to reverse projection weight values point schematic diagram for the present invention;
Fig. 3 implements to reverse projection sequence restriction relation schematic diagram for the present invention;
Fig. 4 implements multiple sections for the present invention and reverses primordial seed point data schematic diagram;
Fig. 5 is the subpoint schematic diagram data that the present invention implements each section;
Fig. 6 implements parallel projection floor map for the present invention.
Specific embodiment
For ease of skilled artisan understands that the technology contents of the present invention, enter one to present invention below in conjunction with the accompanying drawings Step explaination.
The solution of the present invention flow chart is illustrated in figure 1, the present invention proposes a kind of based on answering that sparse point cloud surface is reconstructed Miscellaneous geological structure modeling method, including:
S1, selection projection plane;And by primordial seed point data upright projection to the projection plane, the projection plane It must is fulfilled for two constraintss:
(1) without multiple value point, i.e., two or more primordial seed point data upright projections can not be contained to projection After in plane, its subpoint is completely superposed, i.e. projection point coordinates is just the same.As shown in Fig. 2 A, B, C, D, C1, B1, C2, D1, Primordial seed point data of the discrete points data representated by E for inverted position, B ', C ', the discrete points data representated by D ' is throwing Shadow point data, L are projection straight line (being exactly projection plane on two dimensional surface).Upright projection is being carried out to primordial seed point data After out, the subpoint of B and B1 is all B ', and it is all D ' that the subpoint of C, C1 and C2 is all the subpoint of C ', D and D1, and this is not Meet constraints (1), i.e., projection plane L (i.e. straight line in Fig. 2) is invalid.
Without multiple value point, the distance that mathematically can be expressed as any two subpoint is both greater than 0, i.e. d (pi,pj)> 0, i=1,2 ..., n;J=1,2 ..., n;I ≠ j, wherein, d (pi,pj) represent between i-th subpoint and j-th subpoint Distance, n represent the number of subpoint.
(2) sequence constraint relation.That is the order of primordial seed point must must keep one with the order of corresponding subpoint Cause.As shown in figure 3, point 1,2,3,4,5,6 puts 1 ', 2 ', 3 ', 4 ', 5 ', 6 ' for reversing architectonic primordial seed point data For corresponding projection point data, L is projection straight line (being exactly projection plane in two dimension), and the order of primordial seed point is exactly 1,2,3, 4,5,6, and the order of subpoint is 1 ', 2 ', 5 ', 4 ', 3 ', 6 ', it is clear that inconsistent with the order of primordial seed point, it is not inconsistent contract Beam condition (2), therefore, the projection plane (straight line) is invalid.
Sequence constraint relation, mathematically can be expressed as:For each section, adjacent 3 primordial seeds are traveled through successively The distance of corresponding 3 subpoints of point, first point and the 3rd point is more than the distance of first point and second point, and first The distance of individual point and the 3rd point is more than second point and the distance of the 3rd point;That is, d (pj-1,pj+1)-d(pj-1,pj)>0, d (pj-1,pj+1)-d(pj,pj+1)>0, j=2,3 ..., ni- 1i=1,2 ..., m;pj-1,pj,pj+1For 3 adjacent primordial seeds Corresponding 3 subpoints of point, niRepresent that the seed points of each section, m represent the number of section.
After meet the constraint condition (1) and (2), may there are multiple projection planes, and which projection plane selected Relatively good is a difficult point.If separated between discrete points data on a projection plane as far as possible, i.e., between subpoint away from From as far as possible greatly, the effect for so building Delaunay triangulation network topological structure on a projection plane is relatively good, according to original Point is recovered after space triangular net with the one-to-one relationship of subpoint, and the effect of surface fitting is also relatively good.And project here Separated between discrete points data as far as possible in plane, as on projection plane, between discrete point, that of Maximizing Minimum Distance is thrown Shadow plane is optimal, and the effect of last surface fitting is optimum.
As shown in figure 4, the figure is the reversing primordial seed point data distribution map of multiple sections, 3 are only depicted in figure and is cutd open The seed data in face, 3 planes are parallel to each other, and are the seed point data of section 1 from left to right respectively, the seed points of section 2 According to the seed point data of section 3.Wherein, the seed point data of each section has ordinal relation, according to primordial seed point Order A, B, C, D, E, F, G;In section 1 order of subpoint be A1, B1, C1, D1, E1, F1, G1;In section 2, subpoint is suitable Sequence is A2, B2, C2, D2, E2, F2, G2;In section 3 order of subpoint be A3, B3, C3, D3, E3, F3, G3.
Seen from the above description, the section for reversing the primordial seed point data place of construction is parallel to each other, it is assumed that all parallel In xoy planes.For simple process, it is assumed that projection plane is ax+by+c=0 perpendicular to the equation of plane, i.e. projection plane.By In primordial seed point data be located section each parallel to xoy planes, so the seed point data projection of each section is to plane Projection point data afterwards is all on same straight line.As shown in figure 5, the figure is the subpoint schematic diagram data of each section, figure In depict the corresponding projection point data of seed point data in 3 sections, the round dot of each row is the projection points of corresponding section According to being successively from left to right:The subpoint of section 1, the subpoint of section 2, the subpoint of section 3;This it appears that each The corresponding point data that projects of the seed point data of section is all on same straight line.
Therefore projection situation of the seed point data on single section to projection straight line, and each section can only be considered Do similar process.If the data for projection of each section meets above-mentioned two constraints, all primordial seed points Data for projection can all meet above-mentioned two constraints.Equivalent to the On The Projection of two dimensional surface is converted on one-dimensional straight line On The Projection, can thus be more convenient for processing.
As shown in fig. 6, the figure is the corresponding diagram of the seed point data on single section and One Dimensional Projection straight line, L1 and L2 is Two projection straight lines being parallel to each other (single section is actually projection straight line), the point on curve are primordial seed points According to the point on L1 and L2 is subpoint.Assume that L1 meets above-mentioned two constraints, as primordial seed point is that upright projection is arrived In plane, then L2 also necessarily meets above-mentioned two constraints, this is because between the projection point data in two projection straight lines Relative position will not change.Process for convenience, it can be assumed that projection straight line is through origin, if the equation of projection straight line is ax + by=0, does to projection equation after normalized, as x+by=0.Again as projection plane is perpendicular to xoy planes, so Assume that projection plane is π, its equation is x+by=0.
After normalized is done to projection equation, substantially it is exactly to eliminate this plane of y=0, i.e. xoz planes, such as Shown in Fig. 6, according to the distribution characteristics of the seed point data for reversing construction, if choosing this projection plane of y=0, point data is projected Above-mentioned two constraints will not necessarily be met, this situation for showing directly to exclude y=0 this projection plane is feasible.Institute With it is assumed that the equation of projection plane π is feasible for y=0.
After projection plane is chosen, by primordial seed point data upright projection to the projection plane of the selection, in order that The effect for obtaining space surface fitting is good as far as possible, it is necessary to which the effect of the Delaunay triangulation network connection on projection plane to the greatest extent may be used Can good.If projection point data separates as far as possible, i.e., the distance between subpoint and subpoint are big as far as possible, also It is to say the Maximizing Minimum Distance between subpoint and subpoint, that is, selects best projection plane, then the projection plane is enterprising Topological structure best results after the connection of row Delaunay triangulation network, i.e., recover space triangular finally by one-to-one relationship After net, the effect of triangulation network topological structure of curved surface is reversed preferably, the reversing geological surface best results for finally fitting.
In the application, the calculating process of specific selection best projection plane is:
Assume that primordial seed point data is a total of n, be distributed in m section, the seed of each section is counted out as nx, Wherein, x represents the number of section, x=1,2, L, m.In order to find optimal projection plane π, the application sets up an optimization Mathematical Modeling:
Target variable:b
Object function:min(d(pi,pj)) → max i=1,2 ..., n;J=1,2 ..., n;i≠j
Constraints:d(pi,pj)>0 i=1,2 ..., n;J=1,2 ..., n;i≠j
d(pj-1,pj+1)-d(pj-1,pj)>0 j=2,3 ..., ni- 1i=1,2 ..., m
d(pj-1,pj+1)-d(pj,pj+1)>0 j=2,3 ..., ni- 1i=1,2 ..., m
Wherein, target variable b is the coefficient in projection plane EQUATION x+by=0, d (pi,pj) represent any i-th projection The distance between point and j-th subpoint.
In above-mentioned mathematical model of optimization, an object of the application function is the minimum range between subpoint and subpoint Maximize, i.e.,:
min(d(pi,pj))→max (1)
Wherein, d (pi,pj) represent the distance between i-th subpoint and j-th projection.
Due to reversing the particularity of architectonic seed point data:The distance between seed point on single section is relative Than comparatively dense, and the distance between section and section are relatively sparse.So, corresponding without the seed point for considering two sections Subpoint between minimum range (because the distance between section and section are sufficiently large), and only consider seed on single section Minimum range between the corresponding subpoint of point, i.e., the distance between corresponding subpoint of two neighboring seed point on single section Minimum of a value.Then formula (1) can be converted to:
min(d(pi,pi+1))→max (2)
Wherein, d (pi,pi+1) represent the distance between two neighboring subpoint, due between two neighboring subpoint away from From being greater than 0, so the maximum that formula (2) can be converted to the inverse of distance is minimized, i.e.,:
As the distance between two subpoints are directly proportional to the difference of their ordinate, so formula (3) can enter one Step is expressed as:
Wherein, y 'i,i+1The difference of the ordinate of the two neighboring subpoint of each section is represented, i.e.,:
y′i,i+1=y 'i+1-y′i(5)
Can be drawn by formula (4), above-mentioned mathematical model of optimization is changed for maximum minimization problem.
According to subpoint coordinate formulaIt is taken in formula (5), obtains:
Continue abbreviation, obtain:
Wherein make:X=xi-xi+1, y=yi-yi+1
Then formula (7) with abbreviation can be:
Formula (8) is updated in object function, i.e., in formula (4), obtains new object function:
In the method for being increased based on ordinate successively, the corresponding subpoint of sequential primordial seed point ordinate according to Secondary increase, i.e.,:
y′1<y′2<y′3<…<y′n-1<y′n(10)
According to the effective range that formula (10) can obtain projection plane, the i.e. effective range of b.
By object function is converted into convex optimization problem, best projection plane can be obtained with rapid solving;Described convex excellent Change problem refers to that object function is convex function, and the domain of definition obtained by constraints is the optimization problem of convex set.Lead to below The definition for crossing convex function proves object function for convex function, and detailed process is:
Can be obtained by formula (10), the coordinate mark of a subpoint is bigger than previous subpoint afterwards, i.e.,:
y′i,i+1=y 'i+1-y′i>0 (11)
Convolution (8) and formula (11) can be released
bx-y>0 (12)
There was only mono- independent variable of b in object function, it is possible to make:
Want to prove that object function is convex function, the second dervative for proving object function can be converted to more than or equal to 0, Need first to prove the second dervative of the g (b) in object function more than or equal to 0, below, the first derivative of g (b) is calculated, i.e.,:
Continue abbreviation, obtain:
Below, the second dervative of g (b) is calculated, i.e.,:
Continue abbreviation, obtain:
Last abbreviation, obtains:
Can obtain in conjunction with formula (12):
g”(b)>0 (19)
So, it was demonstrated that g (b) is strictly convex function.According to the definition of convex function, for the domain of definition of independent variable b Middle any two points b1With b2With any real number θ, wherein 0<θ<1, have:
g(θb1+(1-θ)b2)≤θg(b1)+(1-θ)g(b2) (20)
For object function, i.e. formula (9), can be converted to:
max{g1(b),g2(b),…,gn(b)}→min (21)
Wherein giB (), i=1,2 ..., n represent the inverse of the distance of the corresponding subpoint of two neighboring primordial seed point, And giB () has proven to the convex function with regard to variable b.Below, it was demonstrated that the object function in formula (21) is convex function, if target Function is:
F (b)=max { g1(b),g2(b),…,gn(b)} (22)
Prove that the function is a convex function below according to definition, for any two points in the domain of definition of independent variable b b1With b2With arbitrary real number θ, wherein 0<θ<1:
In conjunction with formula (20), have:
Common factor θ and 1- θ is extracted, can be obtained:
f(θb1+(1-θ)b2)≤θf(b1)+(1-θ)f(b2) (27)
So, according to the definition of convex function, it was demonstrated that object function (22) is convex function.According to being increased based on ordinate successively Big method, can obtain the effective range of last b in a linearly interval, i.e., its domain of definition is convex set.
The present invention proposes a kind of new Surface Reconstruction, i.e., by the thought of projection plane:Spatially look for first To a new plane, and in primordial seed point data upright projection to the plane, will wherein must be fulfilled for two constraint bars Part:(1) without multiple value, (2) sequence constraint relation.Then carry out Delaunay triangulation network connection in the plane and obtain the three of two dimension Angle net topology structure, recovers the three-dimensional triangulation network finally by one-to-one relationship of the original point with subpoint, i.e., complete Geology surface reconstruction is reversed into three dimensions.Including:
S2, step S1 choose projection plane on carry out Delaunay triangulation network connection obtain two dimension triangle net topology Structure;
S3, the three-dimensional triangulation network is recovered by the one-to-one relationship of primordial seed point and subpoint, complete three Dimension space reverses geology surface reconstruction.
Triangulation network topological structure that Delaunay triangulation network connection obtain two dimension is carried out in the plane, finally by original point The three-dimensional triangulation network is recovered with the one-to-one relationship of subpoint, that is, is completed three dimensions and is reversed geological surface weight Structure, this part are existing routine techniques, are not the key contents of the application, do not elaborate.Detailed process can be joined Examine documents below:
D.T.Lee,B.J.Schachter.Two algorithms for constructing a Delaunay triangulation[J].International Journal of Computer and Information Sciences, 1980,2(9):219-242.
T.K.Dey,J.Giesen.Detecting undersampling in surface reconstruction [M].Discrete and Computational Geometry.Springer Berlin Heidelberg,2003,329- 345
Xu Shouqian, Zhu Yanjuan. the surface reconstruction [J] of sparse cloud. Chinese manufacturing is information-based:Scholarly edition, 2011,40 (2):35-38
Wei Jia, Tang Jie, Yue Chengqi, etc. three-dimensional geologic structure Modeling Technique Research [J]. petroleum exploration, 2008,47 (4): 319-327
One of ordinary skill in the art will be appreciated that embodiment described here is to aid in reader and understands this Bright principle, it should be understood that protection scope of the present invention is not limited to such especially statement and embodiment.For ability For the technical staff in domain, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, made Any modification, equivalent substitution and improvements etc., should be included within scope of the presently claimed invention.

Claims (6)

1. a kind of based on sparse point cloud surface reconstruct complex geological structure modeling method, it is characterised in that include:
S1, selection projection plane;
S2, step S1 choose projection plane on carry out Delaunay triangulation network connection obtain two dimension triangle net topology knot Structure;
S3, the three-dimensional triangulation network is recovered by the one-to-one relationship of primordial seed point and subpoint, complete three-dimensional space Between reverse geology surface reconstruction.
2. a kind of complex geological structure modeling method reconstructed based on sparse point cloud surface according to claim 1, which is special Levy and be, step S1 include following step by step:
S11, set up projection plane, for by primordial seed point data upright projection to the plane;
S12, optimal model is set up, by the Maximizing Minimum Distance between subpoint;
S13, the optimal model of step S12 is converted into minimization maximum problem;
S14, the minimization maximum problem obtained according to Definition of Convex Function solution procedure S13, obtain best projection plane.
3. a kind of complex geological structure modeling method reconstructed based on sparse point cloud surface according to claim 2, which is special Levy and be, step S11 also includes:The projection plane meets:
(1) without weight values point;The distance of any two subpoint is all higher than 0;
(2) sequence constraint relation;Adjacent 3 primordial seed point corresponding 3 subpoint, first subpoint and are traveled through successively The distance of three subpoints is more than first subpoint and the distance of second subpoint, and first subpoint and the 3rd throwing The distance of shadow point is more than second subpoint and the distance of the 3rd subpoint.
4. a kind of complex geological structure modeling method reconstructed based on sparse point cloud surface according to claim 3, which is special Levy and be, the optimal model of step S12 is specially:
Target variable:b
Object function:min(d(pi,pj)) → max, i=1,2 ..., n;J=1,2 ..., n;i≠j
Constraints:d(pi,pj)>0, i=1,2 ..., n;J=1,2 ..., n;i≠j
d(pj-1,pj+1)-d(pj-1,pj)>0, j=2,3 ..., ni-1;I=1,2 ..., m
d(pj-1,pj+1)-d(pj,pj+1)>0, j=2,3 ..., ni-1;I=1,2 ..., m
Wherein, b represents target variable, d (pi,pj) represent the distance between i-th subpoint and j-th subpoint, niRepresent every The seed points of individual section, m represent the number of section.
5. a kind of complex geological structure modeling method reconstructed based on sparse point cloud surface according to claim 4, which is special Levy and be, step S13 specifically include following step by step:
The distance between S131, the characteristic according to the architectonic seed point data of reversing, the seed point on single section are relative Than comparatively dense, and distance is relatively sparse between the seed point between section and section, and the optimal model of step S12 is turned Turn to the minimum problems of the distance between the corresponding subpoint of two neighboring seed point on single section;
S132, according to constraints:The distance of any two subpoint is all higher than 0, it is known that between two neighboring subpoint away from From more than 0, the minimum of a value of the distance between corresponding subpoint of two neighboring seed point on the single section of step S131 is asked Topic, the maximum for being converted into the inverse of the distance between the corresponding subpoint of two neighboring seed point on single section are minimized and are asked Topic;
S133, it is to be directly proportional according to the distance between any two subpoint to the difference of their ordinate, by step S132 On single section, the Min-Max problem of the inverse of the distance between corresponding subpoint of two neighboring seed point, is converted into The maximum minimization problem of the distance between corresponding subpoint of two neighboring seed point on single section.
6. a kind of complex geological structure modeling method reconstructed based on sparse point cloud surface according to claim 5, which is special Levy and be, step S14 is specially:Increased based on ordinate successively, the respective vertical seat of the corresponding subpoint of primordial seed point Mark increases successively, obtains the effective range of projection plane, that is, obtains best projection plane.
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107180582A (en) * 2017-06-02 2017-09-19 宁波市北仑科导电子有限公司 A kind of fault movements demonstrator
CN107590855A (en) * 2017-10-25 2018-01-16 中国石油集团川庆钻探工程有限公司地球物理勘探公司 Model for Multi-Objective Optimization, interpolation method and the Surface Reconstruction of surface reconstruction
CN108957477A (en) * 2018-06-28 2018-12-07 中国地震局地震预测研究所 Building destruction condition detection method
CN109752759A (en) * 2019-01-31 2019-05-14 深圳大学 A kind of visual realization method and system of aftershock fault structure
CN110163966A (en) * 2019-05-16 2019-08-23 中煤科工集团北京华宇工程有限公司 Establish the method for coal mine three-dimensional geological information model automatically using point cloud data
WO2020243962A1 (en) * 2019-06-06 2020-12-10 深圳市大疆创新科技有限公司 Object detection method, electronic device and mobile platform
CN112116710A (en) * 2020-09-23 2020-12-22 电子科技大学 Curved surface reconstruction method based on trend constraint

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6088511A (en) * 1998-05-13 2000-07-11 Microsoft Corporation Nested parallel 2D Delaunay triangulation method
CN101281557A (en) * 2008-05-16 2008-10-08 中山大学 Sieving method used for complicated ground layer digital mapping
CN103679807A (en) * 2013-12-24 2014-03-26 焦点科技股份有限公司 Method for reconstructing scattered point cloud with boundary constraint
CN104008257A (en) * 2014-06-16 2014-08-27 北京航空航天大学 Reversal design method for component with complex curved surface
CN104167020A (en) * 2014-08-19 2014-11-26 电子科技大学 Spatial reversed curved surface reconstruction method based on restraint Delaunay triangular mesh
CN104806226A (en) * 2015-04-30 2015-07-29 北京四利通控制技术股份有限公司 Intelligent drilling expert system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6088511A (en) * 1998-05-13 2000-07-11 Microsoft Corporation Nested parallel 2D Delaunay triangulation method
CN101281557A (en) * 2008-05-16 2008-10-08 中山大学 Sieving method used for complicated ground layer digital mapping
CN103679807A (en) * 2013-12-24 2014-03-26 焦点科技股份有限公司 Method for reconstructing scattered point cloud with boundary constraint
CN104008257A (en) * 2014-06-16 2014-08-27 北京航空航天大学 Reversal design method for component with complex curved surface
CN104167020A (en) * 2014-08-19 2014-11-26 电子科技大学 Spatial reversed curved surface reconstruction method based on restraint Delaunay triangular mesh
CN104806226A (en) * 2015-04-30 2015-07-29 北京四利通控制技术股份有限公司 Intelligent drilling expert system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
SANTAI SONG等: ""Geological surface reconstruction contained Reversed structures based on spatial coordination transfer", 《SEG TECHNICAL PROGRAM EXPANDED ABSTRACTS 2016》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107180582A (en) * 2017-06-02 2017-09-19 宁波市北仑科导电子有限公司 A kind of fault movements demonstrator
CN107590855A (en) * 2017-10-25 2018-01-16 中国石油集团川庆钻探工程有限公司地球物理勘探公司 Model for Multi-Objective Optimization, interpolation method and the Surface Reconstruction of surface reconstruction
CN108957477A (en) * 2018-06-28 2018-12-07 中国地震局地震预测研究所 Building destruction condition detection method
CN108957477B (en) * 2018-06-28 2020-11-10 中国地震局地震预测研究所 Method for detecting destruction state of building
CN109752759A (en) * 2019-01-31 2019-05-14 深圳大学 A kind of visual realization method and system of aftershock fault structure
CN110163966A (en) * 2019-05-16 2019-08-23 中煤科工集团北京华宇工程有限公司 Establish the method for coal mine three-dimensional geological information model automatically using point cloud data
CN110163966B (en) * 2019-05-16 2022-12-09 中煤科工集团北京华宇工程有限公司 Method for automatically establishing three-dimensional geological information model of coal mine by using point cloud data
WO2020243962A1 (en) * 2019-06-06 2020-12-10 深圳市大疆创新科技有限公司 Object detection method, electronic device and mobile platform
CN112116710A (en) * 2020-09-23 2020-12-22 电子科技大学 Curved surface reconstruction method based on trend constraint

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