CN101403301A - Method for acquiring container layer coarseness area distribution rule - Google Patents
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Abstract
The invention discloses a method for obtaining the areal distribution rule of the granularity of a storage layer, comprising the following steps: oil field geological exploration is carried out to a block to be measured, and the deposition and migration rule of the block is obtained according to the geological exploration result; the block to be measured is divided into different blocks according to deposition microphase unit bodies divided in the geological exploration result; correction is carried out to the divided blocks according to the actual measurement data of the drill core granularity of an exploratory well on the block to be measured; and an interpolation method is utilized to obtain the horizontal granularity distribution rule of the block to be measured. The method solves the shortage of insufficient core-obtaining data of the exploration well of a block, and realizes the distribution rule predication from point to the whole area. Well completion sand prevention proposal design is carried out according to the measured longitudinal and horizontal distribution rules of the granularity with more accurate and reliable design result, thus having important significance for improving the exploration efficiency of the oil field and the oil well productivity.
Description
Technical field
The present invention relates to the geological exploration techniques field, particularly relate to a kind of new granularity Forecasting Methodology, combine with the sedimentary micro method of the regional particle size distribution law of predicting reservoir of actual measurement.
Background technology
Before at present the new block of may shaking out being carried out comprehensive development, completion sand control scheme reasonable in design more and more comes into one's own, to this, Chinese scholars has been carried out a large amount of deep researchs, at the different reservoir characteristics different completion sand control schematic design methods has been proposed, these methods all are based upon on the particle size distribution law of known reservoir, and therefore, that accurately predicts the oilfield reservoir granularity has become more and more important to the area distribution rule in length and breadth.
The Data Base that obtains the reservoir granularity at present originally derives from the testing graininess data of rock core, rock core or landwaste that core hole obtains are tested through laser particle analyzer or screen analyzer, data after will testing again are as the foundation of development well completion sand control schematic design, and the data of Huo Deing are accurately direct like this.Though more accurate directly by the data that the rock core testing graininess obtains, because the prospect pit quantity of a new block and seldom, it is limited to core, be not enough to understand fully whole zone in length and breadth to particle size distribution law; In addition, the core test result of prospect pit can not reflect the reservoir particle property of development well fully.
Summary of the invention
The objective of the invention is according to formation core granularity measured result, migration rule and geologic lithology logging data in conjunction with whole area deposition microfacies, utilize the mathematics interpolating function, the granularity that finally obtains regional different reservoir is in length and breadth to the regularity of distribution, for the design of completion sand control scheme optimization provides the reliable basic data support.
For achieving the above object, technical scheme of the present invention provides the method for obtaining container layer coarseness area distribution rule, may further comprise the steps:
S101 carries out the oil field geologic exploration to prediction block, obtains the fast deposition migration rule in this district according to the geological prospecting result;
S102 according to the deposition microphase unit bodies of dividing among the geological prospecting result, is divided into different blocks with described prediction block;
S103 proofreaies and correct the block of dividing according to the rock core granularity measured data of prospect pit on the described prediction block;
S104 utilizes the method for interpolation to obtain the horizontal particle size distribution law of described prediction block.
Wherein, described deposition migration rule is that described prediction block is littoral facies deposition or river facies deposition.
Wherein, the method for described interpolation may further comprise the steps: the well location geodetic coordinates according to every mouthful of well is set up the plane reference frame, and provides the D coordinates value of sample point; Make the border of each wellblock according to the variation orientation of sedimentary micro, carry out segmentation changing on the directional tendency line, provide every section change of granularity extreme value again in conjunction with the change of granularity scope of different sedimentary micro; The initial particle size changed factor is set, comprises the changed factor of directions X and Y direction; Carry out planar interpolation, judge whether the interpolation result of each point on the plane satisfies the particle size range of sedimentary micro, as not satisfying, change changed factor, the circulation interpolation calculation reaches end loop after the computational accuracy of setting up to interpolation result; Obtain the isogram in whole zone.
Wherein, described deposition microphase unit bodies comprises: distributary channel, gulf, estuary dam between shunting, sand dam far away, natural levee, leading edge sheet sand or prodelta mud under water under water under water.
Wherein, the lithology of described distributary channel under water is middle fine sandstone, pebbly sandstone and glutenite, and the median grain diameter scope is more than the 500um.
Wherein, described under water between shunting the lithology in gulf be powder packsand and a small amount of pebbly sandstone, the median grain diameter scope is 250-500um.
Wherein, the lithology on described estuary dam, sand dam far away is a packsand, and the median grain diameter scope is 125-250um.
Wherein, the lithology of described natural levee under water, leading edge sheet sand is fine silt, packsand, and the median grain diameter scope is 50-125um.
Wherein, the lithology of described prodelta mud is a mud stone, and the median grain diameter scope is below the 50um.
Technique scheme has following advantage:
1, solves the core shortcoming of data deficiencies of a block development well, accomplished the regularity of distribution prediction of spreading over a whole area from one point.
2 and can reflect the particle size distribution characteristics of the development well reservoir section of this any position of block intuitively, solved the deficiency that prospect pit position core test result can not reflect development well reservoir particle property fully.
3, carry out completion sand control schematic design to the regularity of distribution in length and breadth according to the granularity of prediction, its design result has great importance to raising Oilfield developing efficient, raising oil well productivity more accurately and reliably.
Description of drawings
Fig. 1 is a kind of flow chart that obtains the method for container layer coarseness area distribution rule of the embodiment of the invention;
Fig. 2 is the producing well in 11-1N oil field, Weizhou of the embodiment of the invention and the distribution map of water injection well;
Fig. 3 is the particle size distribution law zone isogram in the 11-1N oil field, Weizhou of the embodiment of the invention.
The specific embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples are used to illustrate the present invention, but are not used for limiting the scope of the invention.
As shown in Figure 1, at first sum up the deposition migration rule of this block according to oil field geological prospecting test result in earlier stage, comprise this block be littoral facies deposition or river facies deposition with and deposition direction, according to the deposition microphase unit bodies of dividing in the geology prospecting report (distributary channel, gulf, estuary dam between shunting, sand dam far away, natural levee, leading edge sheet sand, prodelta mud etc. under water) under water under water, whole zone is divided into the lithosomic body of different characteristic; For different sedimentary systems, sedimentary micro has tangible directionality, usually from the thing source to progressively transition of delta front, therefore this trend helps sedimentary system is carried out the zone division by sedimentary micro, determine fringe conditions, utilize the rock core granularity measured data of prospect pit on this block to proofread and correct then, thereby utilize mathematical method can make the isogram of the horizontal size distribution in whole zone.
According to a large amount of rock core testing graininess data, in conjunction with the division of well logging lithologic interpretation and sedimentary micro, can count the roughly particle size distribution of different sedimentary micro and the corresponding relation of lithology thereof, as shown in the table:
| Sedimentary micro | Lithology | The median grain diameter scope |
| Distributary channel under water | In-fine sandstone, pebbly sandstone and glutenite | More than the 500um |
| Gulf between shunting under water | Powder packsand and a small amount of pebbly sandstone | 250-500um |
| Estuary dam, sand dam far away | Packsand | 125-250um |
| Natural levee, leading edge sheet sand under water | Fine silt, packsand | 50-125um |
| Prodelta mud | Mud stone | Below the 50um |
After the basic law of having understood fully sedimentary micro and size distribution, can utilize data interpolating method that this regional granularity is carried out further refinement, make the size distribution isogram in whole zone.
Interpolation algorithm is not know under the situation of definite function, with function of known data point structure, estimates its functional value at the unknown point place.The stability of Piecewise Spline Interpolation Method algorithm and slickness make it become a kind of efficient algorithm that carries out interpolation between known point.Because the number of sample point is limited above the plane domain, only carry out interpolation by these actual measurement sample points, the interpolation result confidence level on the peripheral area of sample point is lower, and therefore, key is the setting of fringe conditions.Variation tendency according to sedimentary micro is provided with fringe conditions accurately.By numerical computations software, can finally obtain optimum particle size distribution law zone isogram, and well satisfy the Changing Pattern and the granularity measured data of sedimentary micro.Reach the requirement that engineering is used.
Concrete implementation step is as follows:
At first set up the plane reference frame, and provide the functional value (Xi, Yi, Zi) of sample point according to the well location geodetic coordinates of every mouthful of well;
Make the approximate bounds of each wellblock according to the variation orientation of sedimentary micro, on variation directional tendency line, carry out segmentation, provide every section change of granularity extreme value again in conjunction with the change of granularity scope of different sedimentary micro;
Rational initial particle size changed factor is set, comprises the changed factor of directions X and Y direction, this changed factor can arbitrarily be provided with, but is provided with improperly, excessively may influence precision, too smallly then can cause program running excessive; Therefore, need determine in conjunction with the granularity measured data of rock core.The minimal difference of median grain diameter was set to the initial change factor when usually, sedimentary micro was from a kind of state variation to another kind of state.
Utilize numerical computations software to carry out planar interpolation, judge whether the interpolation result of each point on the plane satisfies the particle size range of sedimentary micro (supposing that the computational accuracy that interpolation result reaches setting is satisfied), as not satisfying, change changed factor, circulation interpolation calculation program reaches end loop after the computational accuracy of setting up to interpolation result.
The whole regional isogram of output after optimizing.
Development well is carried out completion sand control schematic design having understood fully on the whole regional particle size distribution law basis, its design result more accurately and reliably, to improving Oilfield developing efficient, improving oil well productivity and have great importance.
Be that example is described in detail with 11-1N oil field, Weizhou below:
Southwest, residing Wei, 11-1N oil field, Weizhou depression Paleogene System begins to Weizhou group latter stage from long stream group, has experienced development, the decline of a landlocked gyittja, all processes of extinction.Weizhou 11-1N oilfield reservoir mainly concentrates on one section of stream, is mainly not uniform thickness alternating layers deposition of fan dalta-shore Vlei phase, sand shale, and formation thickness is 350m～450m, and it is more stable to distribute.
Flow one section and can be divided into three parts in upper, middle and lower, its stratum characteristic obvious difference in this oil field scope, the thick about 100m～170m of upper formation is for the shore Vlei deposits mutually.Ground bed thickness about 170m～270m in middle part is fan dalta leading edge deposition.Sandstone is relatively grown, and this oil field oil reservoir mainly is distributed in wherein.Wherein, the bottom is gray powder, packsand and mud stone alternating layers, and the middle part is to be rich in the thin sandstone of oil, oil immersion and oil mark, shallow taupe gray oil immersion gritstone, glutenite folder grey mud stone; Top is gray powder sandstone folder mud stone.Has thin-thick-thin cycle feature from bottom to top.The thick about 60m～100m in understratum, dark gyittja in being mainly.
Present embodiment is an example to flow one section middle part reservoir II of main force group that oils, and three mouthfuls of prospect pit rock core granularity measured datas utilizing sedimentary micro, well logging lithology and this block are carried out the granularity cross direction profiles law forecasting of whole oil group for the basis.
1, WZ11-1N oil field L1II oils and organizes the sedimentary micro regularity of distribution
L1II oils the period of great prosperity that group is grown for the abrupt slope fan delta deposition in bulge source, the northwestward, and sand body is widely distributed, and the four-hole prospect pit is all bored and met this layer.Fade to front end sheet sand to the south by east direction by distributary channel deposit under water along water (flow) direction from north by west, the area distribution rule is very obvious.
Show that according to logging data variation of lithological also presents regular the variation accordingly: in-kern stone and pebbly sandstone alternating layers-in-fine sandstone and pebbly sandstone alternating layers-packsand-fine sandstone on a small quantity.Therefore, can judge the approximate trend that the reservoir size distribution changes according to the variation of sedimentary micro and lithology is southeastward reduced the delta front gradually by thing source, northwest.
2, WZ11-1N oil field L1II oils and organizes granularity measured data statistics
This block has been played the four-hole prospect pit altogether, and wherein three mouthfuls have been carried out getting core, through to getting core rock sample screening, has equidistantly chosen L1II more than 60 sample of group that oil by the sampling well depth and has carried out laser particle size and measure.
According to the testing graininess result, the size distribution approximate range that can count three mouthfuls of wells is as shown in the table.Variation tendency reduces to 3 wells to 4 wells gradually from 2 wells, the variation orientation basically identical of this and sedimentary micro.
| Pound sign | Median grain diameter D50 (um) |
| The WZ11-1N-2 well | 500-1000 |
| The WZ11-1N-4 well | 200-500 |
| The WZ11-1N-3 well | 100-200 |
According to sedimentary micro and actual measurement change of granularity trend, the group that this oil field L1II can be oiled is divided into three wellblocks: 2 wellblocks, 4 wellblocks and 1-3 wellblock.Can open-and-shutly find out from Fig. 2, which wellblock 7 mouthfuls of producing wells in WZ11-1N oil field (A1, A2, A3, A4, A5, A6, A7H) and six mouthfuls of water injection wells (A8, A9, A10, A11, A12, A13) are positioned at substantially, this just helps when every mouthful of well is carried out completion sand control schematic design, can divide the granularity measured data of the corresponding prospect pit of coring of reference according to the wellblock, accomplish to hold as far as possible accurately design parameters, optimizing design scheme.Wherein, Fig. 2 direction of arrow is meant and contains gravel gritstone median grain diameter from pointing to the direction about 100um more than the 500um.
3, WZ11-1N oil field L1II oils and organizes granularity cross direction profiles isogram
After the basic law of having understood fully sedimentary micro and size distribution, can utilize data interpolating method that this regional granularity is carried out further refinement, make the size distribution isogram in whole zone.
Interpolation algorithm is not know under the situation of definite function, with function of known data point structure, estimates its functional value at the unknown point place.The stability of Piecewise Spline Interpolation Method algorithm and slickness make it become a kind of efficient algorithm that carries out interpolation between known point.Because the number of sample point is limited above the plane domain, only carry out interpolation by these actual measurement sample points, the interpolation result confidence level on the peripheral area of sample point is lower, and therefore, key is the setting of fringe conditions.How the variation tendency that fringe conditions will be used sedimentary micro is set accurately.By numerical computations software, can finally obtain optimum particle size distribution law zone isogram, and well satisfy the Changing Pattern and the granularity measured data of sedimentary micro.Reach the requirement that engineering is used.As shown in Figure 3,1,3 well affiliated areas are packsand and aleuritic texture sandstone, 2 well affiliated areas be in thick pebbly sandstone, 4 well affiliated areas be in thin pebbly sandstone.
The above only is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the technology of the present invention principle; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (9)
1, a kind of method of obtaining container layer coarseness area distribution rule is characterized in that, may further comprise the steps:
S101 carries out the oil field geologic exploration to prediction block, obtains the fast deposition migration rule in this district according to the geological prospecting result;
S102 according to the deposition microphase unit bodies of dividing among the geological prospecting result, is divided into different blocks with described prediction block;
S103 proofreaies and correct the block of dividing according to the rock core granularity measured data of prospect pit on the described prediction block;
S104 utilizes the method for interpolation to obtain the horizontal particle size distribution law of described prediction block.
2, the method for obtaining container layer coarseness area distribution rule as claimed in claim 1 is characterized in that, described deposition migration rule is that described prediction block is littoral facies deposition or river facies deposition.
3, the method for obtaining container layer coarseness area distribution rule as claimed in claim 1 is characterized in that, the method for described interpolation may further comprise the steps:
Well location geodetic coordinates according to every mouthful of well is set up the plane reference frame, and provides the D coordinates value of sample point;
Make the border of each wellblock according to the variation orientation of sedimentary micro, carry out segmentation changing on the directional tendency line, provide every section change of granularity extreme value again in conjunction with the change of granularity scope of different sedimentary micro;
The initial particle size changed factor is set, comprises the changed factor of directions X and Y direction;
Carry out planar interpolation, judge whether the interpolation result of each point on the plane satisfies the particle size range of sedimentary micro, as not satisfying, change changed factor, the circulation interpolation calculation reaches end loop after the computational accuracy of setting up to interpolation result;
Obtain the isogram in whole zone.
4, the method for obtaining container layer coarseness area distribution rule as claimed in claim 1, it is characterized in that described deposition microphase unit bodies comprises: distributary channel, gulf, estuary dam between shunting, sand dam far away, natural levee, leading edge sheet sand or prodelta mud under water under water under water.
5, the method for obtaining container layer coarseness area distribution rule as claimed in claim 4 is characterized in that, the lithology of described distributary channel under water is middle fine sandstone, pebbly sandstone and glutenite, and the median grain diameter scope is more than the 500um.
6, the method for obtaining container layer coarseness area distribution rule as claimed in claim 4 is characterized in that, described under water between shunting the lithology in gulf be powder packsand and a small amount of pebbly sandstone, the median grain diameter scope is 250-500um.
7, the method for obtaining container layer coarseness area distribution rule as claimed in claim 4 is characterized in that, the lithology on described estuary dam, sand dam far away is a packsand, and the median grain diameter scope is 125-250um.
8, the method for obtaining container layer coarseness area distribution rule as claimed in claim 4 is characterized in that, the lithology of described natural levee under water, leading edge sheet sand is fine silt, packsand, and the median grain diameter scope is 50-125um.
9, the method for obtaining container layer coarseness area distribution rule as claimed in claim 4 is characterized in that, the lithology of described prodelta mud is a mud stone, and the median grain diameter scope is below the 50um.
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