CN109283596A - A kind of carbonate reservoir physical property means of interpretation - Google Patents
A kind of carbonate reservoir physical property means of interpretation Download PDFInfo
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Abstract
The present invention provides a kind of carbonate reservoir physical property meanss of interpretation, its method includes: for carbonate reservoir physical property means of interpretation, comprehensive sound wave, neutron, density and Electric Log Data, carbonate formation matrix porosity in log is come with fracture porosity data separation；The nonsingular linear equal for unknown number and equation number just determines equation group, searches for an initial value close to solution by particle swarm algorithm, obtains convergent mineral constituent content based on Nonlinear Constrained Optimization Method and porosity accurately solves.The beneficial effects of the present invention are: technical solution provided by the present invention realizes the fine description to carbonate reservoir, be conducive to reservoirs exploration evaluation and production practices；The laboratory experience value for solving each mineral of rock chooses error to the error of explanation results, optimizes WELL LITHOLOGY and physical property interpretation process.
Description
Technical field
The present invention relates to geological exploration field more particularly to a kind of carbonate reservoir physical property meanss of interpretation.
Background technique
In addition to the data such as geology and experiment, the drilling datas such as well logging, well logging are most reliable and can continuously reflect subsurface rock
The basic geological data of physical property.Capsule information source of the geophysical log data as subsurface rock information, on stratum
Importance in the explanation of the physical property such as lithology and porosity is more and more prominent.The explanation of well-log information physical property is reservoir numerical simulation and sweet tea
The geological researches such as the basis of point prediction is also sedimentary facies division, Sedimentary Environment Discrimination provide foundation.Physical property explanation results are to storage
Layer evaluation, geological model division are of great importance, and also play important role in each stage of oil exploration and exploitation.
Therefore, accurately well logging physical property Interpreting Method has important research significance.
Currently, common reservoir well logging physical property means of interpretation is mainly mineral type and quantity according to contained by stratum and divides,
It is a kind of fuzzy universal method mostly, is not directed to the Fine Reservoir means of interpretation of specific rock type and porosity type；Sound
The common data of wave, neutron and density log as reservoir properties, lithologic interpretation does not have in current well logging physical property means of interpretation
There is the covering scope in view of log information, for containing the non-equal of two kinds of different type interstitial spaces (hole-slit formation)
Explanation Accuracy is inadequate for the strong carbonate strata of matter；In addition, in the numerical value standard measure of rock porosity and lithological composition
In explanation, the nonsingular linear equal for unknown number and equation number just determines equation group, the laboratory warp of composition each mineral of rock
The selection for testing value has conclusive influence to explanation results, is difficult to find appropriate empirical parameter guarantee explanation results in normal
Range.
Well logging information is the rock behavio(u)r directly or indirectly reflected under certain hypothesis in a certain respect, rock point
Log value is the sum of the homogeneous each section contribution margin for forming rock.Therefore, it is necessary to comprehensive log interpretation models to turn well logging information
It changes geological information into, i.e., rock porosity, rock matrix and different groups is obtained by the physical model of bulk-volume rock of rock macroscopic property
Divide matrix minerals ingredient.The slide wave theory of acoustic logging illustrates that first wave of sound is propagated along the borehole wall at first, acoustic logging porosity
It can only reflect the crack and the matrix porosity for being uniformly distributed hole that low angle is truncated；And density log porosity due to
The reason of measurement means, density log can only reflect part hole in contact with progradation；Therefore, for heterogeneous
The strong carbonate reservoir of property, sound wave and density log information cannot reflect rock total porosity size, can only reflect rock base
Homogeneous porosity in matter.What neutron log porosity actually reacted is the total hydrogen index of rock, when stratum contains natural gas
When " excavation effect " presence need gas-bearing property correction can just obtain accurate stratum total porosity.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of carbonate reservoir physical property means of interpretation, a kind of carbonate
Rock reservoir properties means of interpretation, mainly comprises the steps that
S101: obtaining the logging data and log data of carbonate reservoir, and the log data includes acoustic logging number
According to, density log data, neutron well logging data and Electric Log Data；
S102: the rock shale mineral content V of carbonate reservoir is calculated using formula (1)sh:
In above formula, VshFor rock shale mineral content, GCUR is stratum constant, layer natural gamma rays intensity for the purpose of SH
Index；
S103: according to the drilling fluid filtrate conductivity in logging data, carbonate rock is calculated using Archie formula
The rock fracture porosity φ of reservoirc, shown in calculation formula such as formula (2):
In above formula, φcFor rock fracture porosity, σLLDAnd σLLSRespectively deep lateral conductivity rate and shallow lateral conductivity rate,
It is the inverse of Electric Log Data, σmfAnd σwRespectively drilling fluid filtrate conductivity and stratum water conductivity are well logging number
According to,mfIt is priori value for the porosity exponent in crack；
S104: according to rock shale mineral content VshWith rock fracture porosity φc, mould is balanced using macroscopical rock volume
The matrix porosity φ of carbonate reservoir is calculated in typesWith mineral composition volume content each in carbonate reservoir
Vi, shown in calculation formula such as formula (3):
In above formula, φsFor matrix porosity, ViFor i-th kind of mineral volume content, Δ tf、Δtsh、ΔtimaWith Δ t
Interval transit time value respectively in fluid time difference value, shale time difference value, i-th kind of mineral time difference value and sound wave measuring well curve；ρf、
ρsh、ρimaWith the density value that ρ is respectively in fluid density value, shale density value, i-th kind of mineral density value and density log data；
CNLf、CNLsh、CNLimaIt is respectively subvalue in fluid, subvalue in shale, subvalue and neutron well logging data in i-th kind of mineral with CNL
In middle subvalue；Wherein Δ t, ρ and CNL is respectively the log data of acoustic logging, density log, neutron well logging, Δ tf、Δ
tsh、Δtima、ρf、ρsh、ρima、CNLf、CNLshAnd CNLimaFor priori value；I=1,2,3 ..., N, N are in carbonate reservoir
Mineral species quantity；
S105: by matrix porosity φs, rock fracture porosity φcWith each mineral composition volume content Vi, as
Final carbonate reservoir physical property explanation results.
Further, the log data further include: gamma ray log data；In step S102, the calculation formula of SH
As shown in formula (4):
In above formula, GRmaxAnd GRminRespectively gamma ray curve maximum and minimum, GR be target zone containing shale from
Right gamma reading, is gamma ray log data；GRmax、GRminFor priori value.
Further, in step S102, the value of stratum constant GCUR is 2.
Further, in step S104, carbonate rock Minerals content includes: shale content, calcite content, dolomite
Content mixing paste salt content；In situation known to shale content, ViRespectively indicate three kinds of mineral contents: calcite content V1, white clouds
Stone content V2Mixing paste salt content V3,；Steps are as follows for the calculating of macroscopical rock volume balance model:
S201: the unknown number number nonsingular linear equal with equation number is obtained by formula (3) arrangement and just determines equation group；Institute
Stating unknown number includes: φs、V1、V2And V3；
S202: just determining equation group to the nonsingular linear by particle swarm algorithm and scan for, obtain one close to
The initial value of solution；
S203: according to the initial value, using Nonlinear Constrained Optimization Method to the nonsingular linear just determine equation group into
One step solves, and obtains matrix porosity φsAnd V1、V2、V3Exact Solutions.
Technical solution provided by the invention has the benefit that technical solution provided by the present invention for carbonate
Matrix porosity and fracture porosity have apparent differentiation effect, realize the fine description to carbonate reservoir, have
Conducive to reservoirs exploration evaluation and production practices；In the numerical method quantitative interpretation of carbonate rock rock porosity and lithological composition,
The nonsingular linear equal for unknown number and equation number just determines equation group, searches for one close to solution by particle swarm algorithm
Initial value obtains convergent mineral constituent content based on nonlinear constrained optimization and porosity correctly solves, and solves each mineral of rock
Laboratory experience value choose error to the errors of explanation results, it is smaller by interference from human factor, optimize WELL LITHOLOGY and object
Property interpretation process.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is a kind of flow chart of carbonate reservoir physical property means of interpretation in the embodiment of the present invention；
Fig. 2 is double mausoleums 1 Chialingchiang Formation, two sections of carbonate reservoir physical property explanation results schematic diagrames in the embodiment of the present invention；
Fig. 3 is that double mausoleums 1 fly celestial pass three sections of carbonate reservoir physical property explanation results schematic diagrames of group in the embodiment of the present invention.
Specific embodiment
For a clearer understanding of the technical characteristics, objects and effects of the present invention, now control attached drawing is described in detail
A specific embodiment of the invention.
The embodiment provides a kind of carbonate reservoir physical property meanss of interpretation.
Referring to FIG. 1, Fig. 1 is a kind of flow chart of carbonate reservoir physical property means of interpretation in the embodiment of the present invention, tool
Body includes the following steps:
S101: obtaining the logging data and log data of carbonate reservoir, and the log data includes acoustic logging number
According to, density log data, neutron well logging data and Electric Log Data；
S102: the rock shale mineral content V of carbonate reservoir is calculated using formula (1)sh:
In above formula, VshFor rock shale mineral content, GCUR is stratum constant, layer natural gamma rays intensity for the purpose of SH
Index；
S103: according to the drilling fluid filtrate conductivity in logging data, carbonate rock is calculated using Archie formula
The rock fracture porosity φ of reservoirc, shown in calculation formula such as formula (2):
In above formula, φcFor rock fracture porosity, σLLDAnd σLLSRespectively deep lateral conductivity rate and shallow lateral conductivity rate,
It is the inverse of Electric Log Data, σmfAnd σwRespectively drilling fluid filtrate conductivity and stratum water conductivity are well logging number
According to,mfIt is priori value for the porosity exponent in crack；
S104: according to rock shale mineral content VshWith rock fracture porosity φc, mould is balanced using macroscopical rock volume
The matrix porosity φ of carbonate reservoir is calculated in typesWith mineral composition volume content each in carbonate reservoir
Vi, shown in calculation formula such as formula (3):
In above formula, φsFor matrix porosity, ViFor i-th kind of mineral volume content, Δ tf、Δtsh、ΔtimaWith Δ t
Interval transit time value respectively in fluid time difference value, shale time difference value, i-th kind of mineral time difference value and sound wave measuring well curve；ρf、
ρsh、ρimaWith the density value that ρ is respectively in fluid density value, shale density value, i-th kind of mineral density value and density log data；
CNLf、CNLsh、CNLimaIt is respectively subvalue in fluid, subvalue in shale, subvalue and neutron well logging data in i-th kind of mineral with CNL
In middle subvalue；Wherein Δ t, ρ and CNL is respectively the log data of acoustic logging, density log, neutron well logging, Δ tf、Δ
tsh、Δtima、ρf、ρsh、ρima、CNLf、CNLshAnd CNLimaFor priori value；I=1,2,3 ..., N, N are in carbonate reservoir
Mineral species quantity；
S105: by matrix porosity φs, rock fracture porosity φcWith each mineral composition volume content Vi, as
Final carbonate reservoir physical property explanation results.
The log data further include: gamma ray log data；In step S102, the calculation formula of SH such as formula (4)
It is shown:
In above formula, GRmaxAnd GRminRespectively gamma ray curve maximum and minimum, GR be target zone containing shale from
Right gamma reading, is gamma ray log data；GRmax、GRminFor priori value.
In step S102, the value of stratum constant GCUR is 2.
In step S104, carbonate rock Minerals content includes: shale content, calcite content, dolomite content mixing paste
Salt content；In situation known to shale content, ViRespectively indicate three kinds of mineral contents: calcite content V1, dolomite content V2
Mixing paste salt content V3,；Steps are as follows for the calculating of macroscopical rock volume balance model:
S201: the unknown number number nonsingular linear equal with equation number is obtained by formula (3) arrangement and just determines equation group；Institute
Stating unknown number includes: φs、V1、V2And V3；
S202: just determining equation group to the nonsingular linear by particle swarm algorithm and scan for, obtain one close to
The initial value of solution；
S203: according to the initial value, using Nonlinear Constrained Optimization Method to the nonsingular linear just determine equation group into
One step solves, and obtains matrix porosity φsAnd V1、V2、V3Exact Solutions.
In embodiments of the present invention, part well log data is as shown in the table:
For prominent technical effect, the present invention to Chialingchiang Formation and flies celestial pass group marine facies carbonic acid using provided technical solution
The hole of rock salt reservoir-slit formation rock reservoir carries out physical property explanation, and Fig. 2 and Fig. 3 compared two sections of 1 well Chialingchiang Formation of double mausoleums, fly
Three sections of carbonate reservoir rock cores of celestial pass group actual measurement porositys and well log interpretation matrix porosity, rock fracture porosity,
The relationship of total porosity, it can be seen that well logging calculate total pore space angle value and rock core measured value it is almost the same, and for matrix pores,
Fracture pore also has apparent differentiation effect, this is consistent with rock core hole, hole, seam statistics (table 1) result, and two sections of Chialingchiang Formation to split
Based on seam type reservoir, a large amount of half filling seams of development and microscopic checks；And flying three sections of group of celestial pass is hole-crack elimination, matrix
Crack is developed in pores'growth, part.Explain that the rock composition content being calculated and sieve residue log result match result are good.
1 pair of mausoleum of table, 1 well carbonate reservoir drill cores hole, hole, seam statistical form
The beneficial effects of the present invention are: technical solution provided by the present invention is for In Carbonate Rock matrix porosity and splits
Slot apertures porosity, have it is apparent distinguish effect, realize the fine description to carbonate reservoir, be conducive to reservoirs exploration evaluation and
Production practices；In the numerical method quantitative interpretation of carbonate rock rock porosity and lithological composition, for unknown number and equation number
Equal nonsingular linear just determines equation group, searches for an initial value close to solution by particle swarm algorithm, based on it is non-linear about
Shu Youhua obtains convergent mineral constituent content and porosity correctly solves, and the laboratory experience value for solving each mineral of rock is chosen
Error is smaller by interference from human factor to the errors of explanation results, optimizes WELL LITHOLOGY and physical property interpretation process.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (4)
1. a kind of carbonate reservoir physical property means of interpretation, it is characterised in that: the following steps are included:
S101: obtaining the logging data and log data of carbonate reservoir, and the log data includes sound wave measuring well curve, close
Spend log data, neutron well logging data and Electric Log Data；
S102: the rock shale mineral content V of carbonate reservoir is calculated using formula (1)sh:
In above formula, VshFor rock shale mineral content, GCUR is stratum constant, and layer natural gamma rays intensity refers to for the purpose of SH
Number；
S103: according to the drilling fluid filtrate conductivity in logging data, carbonate reservoir is calculated using Archie formula
Rock fracture porosity φc, shown in calculation formula such as formula (2):
In above formula, φcFor rock fracture porosity, σLLDAnd σLLSRespectively deep lateral conductivity rate and shallow lateral conductivity rate, are resistance
The inverse of rate log data, σmfAnd σwRespectively drilling fluid filtrate conductivity and stratum water conductivity are logging data,mfTo split
The porosity exponent of seam is priori value；
S104: according to rock shale mineral content VshWith rock fracture porosity φc, using macroscopical rock volume balance model,
The matrix porosity φ of carbonate reservoir is calculatedsWith mineral composition volume content V each in carbonate reservoiri, meter
It calculates shown in formula such as formula (3):
In above formula, φsFor matrix porosity, ViFor i-th kind of mineral volume content, Δ tf、Δtsh、ΔtimaDistinguish with Δ t
For the interval transit time value in fluid time difference value, shale time difference value, i-th kind of mineral time difference value and sound wave measuring well curve；ρf、ρsh、ρima
With the density value that ρ is respectively in fluid density value, shale density value, i-th kind of mineral density value and density log data；CNLf、
CNLsh、CNLimaIt is respectively subvalue in fluid, subvalue in shale, in i-th kind of mineral in subvalue and neutron well logging data with CNL
Middle subvalue；Wherein Δ t, ρ and CNL is respectively the log data of acoustic logging, density log, neutron well logging, Δ tf、Δtsh、Δ
tima、ρf、ρsh、ρima、CNLf、CNLshAnd CNLimaFor priori value；I=1,2,3 ..., N, N are the mineral in carbonate reservoir
Number of species；
S105: by matrix porosity φs, rock fracture porosity φcWith each mineral composition volume content Vi, as final
Carbonate reservoir physical property explanation results.
2. a kind of carbonate reservoir physical property means of interpretation as described in claim 1, it is characterised in that: the log data is also
It include: gamma ray log data；In step S102, shown in the calculation formula of SH such as formula (4):
In above formula, GRmaxAnd GRminRespectively gamma ray curve maximum and minimum, GR are the nature of target zone containing shale gal
Horse reading is gamma ray log data；GRmax、GRminFor priori value.
3. a kind of carbonate reservoir physical property means of interpretation as described in claim 1, it is characterised in that: in step S102, ground
The value of layer constant GCUR is 2.
4. a kind of carbonate reservoir physical property means of interpretation as described in claim 1, it is characterised in that: in step S104, carbon
Carbonate Rocks Minerals content includes: shale content, calcite content, dolomite content mixing paste salt content；Known to shale content
In the case where, ViRespectively indicate three kinds of mineral contents: calcite content V1, dolomite content V2Mixing paste salt content V3,；Macroscopical rock
Steps are as follows for the calculating of stone volumetric balance model:
S201: the unknown number number nonsingular linear equal with equation number is obtained by formula (3) arrangement and just determines equation group；It is described not
Know that number includes: φs、V1、V2And V3；
S202: just determining equation group to the nonsingular linear by particle swarm algorithm and scan for, and obtains one close to solution
Initial value；
S203: according to the initial value, it is further that equation group is just determined to the nonsingular linear using Nonlinear Constrained Optimization Method
It solves, obtains matrix porosity φsAnd V1、V2、V3Exact Solutions.
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Cited By (4)
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| CN112016753A (en) * | 2020-08-31 | 2020-12-01 | 中国海洋石油集团有限公司 | Metamorphic rock buried hill productivity prediction method based on ternary coupling |
| CN112392471A (en) * | 2019-08-13 | 2021-02-23 | 中国石油化工股份有限公司 | Carbonate reservoir porosity calculation method and device |
| CN113009592A (en) * | 2021-03-03 | 2021-06-22 | 中国石油大学(北京) | Evaluation method and correction method for conglomerate stratum rock abrasiveness parameters |
| CN114724641A (en) * | 2022-06-07 | 2022-07-08 | 中国石油大学(华东) | Double-mineral-component carbonate reservoir acidification numerical simulation method |
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| CN112392471A (en) * | 2019-08-13 | 2021-02-23 | 中国石油化工股份有限公司 | Carbonate reservoir porosity calculation method and device |
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| CN112016753A (en) * | 2020-08-31 | 2020-12-01 | 中国海洋石油集团有限公司 | Metamorphic rock buried hill productivity prediction method based on ternary coupling |
| CN112016753B (en) * | 2020-08-31 | 2024-03-26 | 中国海洋石油集团有限公司 | Ternary coupling-based metamorphic rock buried hill productivity prediction method |
| CN113009592A (en) * | 2021-03-03 | 2021-06-22 | 中国石油大学(北京) | Evaluation method and correction method for conglomerate stratum rock abrasiveness parameters |
| CN113009592B (en) * | 2021-03-03 | 2022-02-25 | 中国石油大学(北京) | Evaluation method and correction method for conglomerate stratum rock abrasiveness parameters |
| CN114724641A (en) * | 2022-06-07 | 2022-07-08 | 中国石油大学(华东) | Double-mineral-component carbonate reservoir acidification numerical simulation method |
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Application publication date: 20190129 |