CN106547034A - A kind of method for calculating compact reservoir rock brittleness index - Google Patents

A kind of method for calculating compact reservoir rock brittleness index Download PDF

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CN106547034A
CN106547034A CN201610982279.7A CN201610982279A CN106547034A CN 106547034 A CN106547034 A CN 106547034A CN 201610982279 A CN201610982279 A CN 201610982279A CN 106547034 A CN106547034 A CN 106547034A
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young
modulus
angle
brittleness index
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赵志红
郭建春
张胜传
卢聪
王娟
黄超
张晗
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Southwest Petroleum University
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Abstract

The present invention provides a kind of method for quickly calculating rock brittleness based on well-log information, to the quick calculating for realizing compact reservoir rock brittleness under formation condition, promotes fine and close oil-gas reservoir Efficient Development., mainly from rock rupture form and fracture energy angle, more complicated according to rock rupture form, fracture can be less for this method, the bigger principle of rock brittleness index.Reflect the ability of rock resistance to deformation, the speed for deforming respectively using Young's modulus, dilative angle, can be very good to describe the Brittleness of rock, while Young's modulus and dilative angle can also reflect the feature of different phase on Complete Stress-Strain Relationship of Rock curve.The weight coefficient of Young's modulus and dilative angle is calculated using grey correlation theory, so as to set up the new method for calculating rock brittleness index.This method is the computational methods based on well-log information fast prediction brittleness index, improves the reasonability of rock brittleness evaluation, promotes the Efficient Development of fine and close oil-gas reservoir.

Description

A kind of method for calculating compact reservoir rock brittleness index
Technical field：
The present invention relates to unconventionaloil pool exploration and development field, and in particular to a kind of to calculate fine and close storage based on well-log information The method of layer rock brittleness index.
Background technology：
The fine and close oil and gas reserves of China enriches, and with good potentiality to be exploited, but development difficulty is larger.By shale gas reservoir The inspiration of effective exploitation, fine and close oil-gas reservoir have carried out the practice for stitching net pressure break.In seam net pressure break, the fragility of rock is to judge storage Lamination splits the important parameter to form seam net ability.At present petroleum industry oil and gas development field using most mineral brittleness indexs and Dynamic rock mechanics parameters calculate the summary that the method for rock brittleness is all U.S.'s shale gas pressure break experience.And rock mechanics field Rock brittleness be mainly based upon again rock indoor test stress-strain diagram and mechanical characteristics calculated, do not have and oil gas Development field combines, it is difficult to for scene application.Therefore, fine and close oil gas pressure break is badly in need of a kind of based on rock brittleness mechanics table Now convenient rock brittleness computational methods are applied with scene.
The content of the invention：
Deficiency of the present invention for the rock brittleness computational methods of densification oil gas scene application at present, it is proposed that one kind is based on The method that rock fracture energy, ruptured type and well-log information quickly calculate rock brittleness index, to realize causing under formation condition The quick calculating of close reservoir rock fragility, provides foundation for compact reservoir design of hydraulic fracturing scheme.
The fracture of rock microcosmic can be the concrete manifestation of rock brittleness with the ruptured type of macroscopic view.It is proposed by the present invention A kind of method for calculating compact reservoir rock brittleness index, reflects rock resistance to deformation respectively using Young's modulus, dilative angle Ability and the speed of deformation, the principle with the Brittleness of description rock well.By giving two parameter corresponding weights To set up new rock brittleness computational methods, and using well-log information obtaining the parameter value for calculating brittleness index.The present invention is main Comprise the following steps：
1. Well logging Data prepares.Well-log information includes full wave train acustic logging or dipole acoustic and natural gamma The data such as well logging, shear wave slowness, compressional wave time difference at least including fractured interval, density, porosity, Natural Gamma-ray Logging Curves；
2. the Young's modulus of rock is calculated respectively using shear wave slowness, compressional wave time difference, density curve, gamma ray curve E, Poisson's ratio ν, internal friction angleShale content VshSection, is calculated with formula (1)-(5) respectively：
In formula, EdFor kinetic Youngs modulus, vdFor dynamic Poisson's ratio, ρ is density, VtFor velocity of longitudinal wave, VsFor shear wave speed Degree,For internal friction angle, φ is porosity, and SH is natural gamma relative value, GR, GRmax、GRminRespectively target zone nature gal Horse value, the natural gamma value on pure shale stratum, the natural gamma value of pure lithologic character stratum, VshFor shale content, GCUR is and the age Relevant empirical coefficient, old stratum take 3.7, and new stratum takes 2.
3. the rock-mechanics property parameter and shale content section for being obtained using step 2 be calculated compressive strength of rock and Confined pressure section, is calculated with formula (6) and (7) respectively：
σc=(0.0045+0.0035Vsh)Ed (6)
In formula, σcFor the compression strength of rock, PcFor confined pressure, depth of the H for reservoir, α are effective stress coefficient.
As shale content VshDuring ＞ 0.8, effective stress factor alpha=0.6；As shale content VshDuring ＜ 0.2, effective stress Factor alpha=0.9；As 0.2 ＜ V of shale contentshDuring ＜ 0.8, effective stress coefficient
4. the compressive strength of rock for being obtained using step 3 and the dilative angle section of calculating of surrounding rock pressure rock, are counted with formula (8) Calculate；
In formula, dilative angles of the ψ for rock,For internal friction angle, σcFor compressive strength of rock, PcFor confined pressure.
5. utilize Young's modulus and dilative angle the two parameters to set up new rock brittleness index number evaluation method, by grey Relevance theory calculates the weight coefficient of Young's modulus and dilative angle；
6. the weight coefficient that the dilative angle and step 5 that the Young's modulus that obtains with step 2, step 4 are obtained is obtained, calculates Rock brittleness index profile is obtained, and rock brittleness index B is calculated with formula (9)I。
BI=W1En+W2ψn (9)
In formula, BIFor brittleness index, EnFor normalized Young's modulus, ψnFor normalized dilative angle, W1For Young's modulus Shared weight, W2The weight shared by dilative angle.
Wherein, EnAnd ψnComputing formula it is as follows：
In formula, E, Emax, EminRespectively the Young's modulus of stratum arbitrfary point, fractured interval stratum maximum Young's modulus, pressure Parting section stratum minimum Young's modulus；ψ, ψmax, ψminRespectively the dilative angle of stratum arbitrfary point, fractured interval stratum maximum cut swollen Angle, fractured interval stratum minimum dilative angle.
Compared with the existing method for calculating rock brittleness index, the method have the advantages that：The present invention is based on rock Fracture energy and ruptured type, it is proposed that one kind can utilize well-log information fast prediction brittleness index computational methods, by rock The fragility of stone is combined with the ruptured type of laboratory experiment rock, is provided for subsurface rock fragility and is more intuitively judged, is Fine and close oil-gas reservoir Fracturing Project optimization provides foundation, is conducive to improving fine and close oil gas fracturing effect.
Description of the drawings：
Fig. 1 is the step of present invention calculates rock brittleness block diagram.
Fig. 2 is Dagang Oilfield compact oil reservoir 4050m of the present invention～4065m well section well-log information schematic diagrames
Fig. 3 is that the method according to the invention calculates compact oil reservoir 4050m～4065m well section brittleness index generalized sections
Specific embodiment：
Below implementation method of the present invention is described in further detail, it is specific as follows：
By taking a certain compact oil reservoir reservoir of Dagang Oilfield aperture leakage as an example, the reservoir buried depth is 4050～4065m, the well section ground Layer average pressure is 45MPa.As a example by buried depth of strata 4050m, brittleness index is calculated using the method for the present invention.
1., according to step 1, shear wave slowness, compressional wave time difference, density, porosity and the natural gamma for preparing fractured interval is surveyed Well curve, Well logging Data is as shown in Figure 2；
2. calculate the Young's modulus of rock, Poisson's ratio, internal friction angle, shale respectively using related logging data to contain Amount, it is E=36580.5MPa, Poisson to be calculated the Young's modulus at buried depth 4050m by formula (1)-(5) in step 2 Than for v=0.258, internal friction angle beingShale content is Vsh=0.209；
3. the compressive strength of rock at buried depth 4050m is calculated respectively for σ according to formula (6)-(7) in step 3c =191.44MPa, confined pressure are Pc=59.85MPa, according to the formula (8) in step 4 be calculated rock dilative angle be Ψ= 5.69°；
4. 0.426 He is respectively according to the weight coefficient that Young's modulus and dilative angle the two parameters are calculated in step 5 0.574, and according to formula (9)-(11) in step 6 be calculated buried depth for 4050m place rock brittleness index be BI= 0.824。
In the same manner, the fragility that buried depth is 4050～4065m compact reservoir rocks can be calculated by the method for the present invention to refer to Number section, as a result as shown in Figure 3.

Claims (5)

1. a kind of method for calculating compact reservoir rock brittleness index, comprises the following steps：
(1) Well logging Data prepares.Well-log information includes that full wave train acustic logging or dipole acoustic and natural gamma are surveyed Well data, at least including shear wave slowness, compressional wave time difference, density, porosity, Natural Gamma-ray Logging Curves；
(2) calculate the Young mould of rock using shear wave slowness, compressional wave time difference, density, porosity, gamma ray curve respectively Amount, Poisson's ratio, internal friction angle, shale content；
(3) the rock-mechanics property parameter and shale content section obtained using step (2) be calculated compressive strength of rock and Confined pressure section；
(4) compressive strength of rock for being obtained using step (3) and the dilative angle section of calculating of surrounding rock pressure rock；
(5) new rock brittleness index number evaluation method is set up using Young's modulus and dilative angle the two parameters, closed by grey The weight coefficient of connection theoretical calculation Young's modulus and dilative angle；
(6) weight coefficient that the dilative angle and step (5) that the Young's modulus that obtains with step (2), step (4) are obtained is obtained, It is calculated rock brittleness index profile.
2. the Forecasting Methodology according to the above-mentioned compact reservoir rock brittleness index of claim 1, it is characterised in that：The step (2) Young's modulus, Poisson's ratio, internal friction angle in, the computing formula of shale content are：
In formula, EdFor kinetic Youngs modulus, νdFor dynamic Poisson's ratio, ρ is density, VtFor velocity of longitudinal wave, VsFor shear wave velocity,For Internal friction angle, φ is porosity, and SH is natural gamma relative value, GR, GRmax、GRminRespectively target zone natural gamma value, pure The natural gamma value of the natural gamma value of mudstone stratum, pure lithologic character stratum, VshFor shale content, GCUR is the Jing relevant with the age Coefficient is tested, old stratum takes 3.7, and new stratum takes 2.
3. the Forecasting Methodology according to the above-mentioned compact reservoir rock brittleness index of claim 1, it is characterised in that：The step (3) compressive strength of rock and calculating of surrounding rock pressure formula in be：
σc=(0.0045+0.0035Vsh)Ed (6)
In formula, σcFor the compression strength of rock, PcFor confined pressure, depth of the H for reservoir, α are effective stress coefficient.
As shale content VshDuring ＞ 0.8, effective stress factor alpha=0.6；As shale content VshDuring ＜ 0.2, effective stress factor alpha =0.9；As 0.2 ＜ V of shale contentshDuring ＜ 0.8, effective stress coefficient
4. the Forecasting Methodology according to the above-mentioned compact reservoir rock brittleness index of claim 1, it is characterised in that：The step (4) the dilative angle computing formula in is：
In formula, dilative angles of the ψ for rock,For internal friction angle, σcFor compressive strength of rock, PcFor confined pressure.
5. the Forecasting Methodology according to the above-mentioned compact reservoir rock brittleness index of claim 1, it is characterised in that：The step (6) the rock brittleness index B inIComputing formula be：
BI=W1En+W2ψn (9)
In formula, BIFor brittleness index, EnFor normalized Young's modulus, ψnFor normalized dilative angle, W1Shared by Young's modulus Weight, W2The weight shared by dilative angle.
Wherein, EnAnd ψnComputing formula it is as follows：
In formula, E, Emax, EminThe respectively Young's modulus of stratum arbitrfary point, stratum maximum Young's modulus, stratum minimum Young mould Amount；ψ, ψmax, ψminRespectively the dilative angle of stratum arbitrfary point, stratum maximum dilative angle, stratum minimum dilative angle.
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Cited By (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107045580A (en) * 2017-04-27 2017-08-15 中国石油大学(华东) A kind of shale mechanics parameter quick calculation method based on digital cores
CN107747916A (en) * 2017-10-27 2018-03-02 辽宁工程技术大学 A kind of measuring method of strain localization band dilative angle
CN108519281A (en) * 2018-02-27 2018-09-11 中国石油天然气股份有限公司 Method, device and system for determining brittleness index of rock
CN108805158A (en) * 2018-04-16 2018-11-13 北京师范大学 A kind of fine and close oily reservoir diagenetic phase division methods
CN108875115A (en) * 2018-03-12 2018-11-23 中国石油天然气集团有限公司 A kind of method of determining rock strength
CN109164499A (en) * 2018-08-30 2019-01-08 中国石油化工股份有限公司 Consider the calculating of rock brittleness index and means of interpretation of deposition diagenetic process
CN109778880A (en) * 2019-02-14 2019-05-21 长安大学 A kind of construction method of geotechnical grid barricade
CN109828031A (en) * 2019-02-15 2019-05-31 西南石油大学 Rock brittleness evaluation method and device
CN109917102A (en) * 2019-01-28 2019-06-21 西南石油大学 A kind of brittleness evaluation method considering rock rupture complexity
CN110058323A (en) * 2019-04-03 2019-07-26 天津科技大学 A kind of tight sand formation brittleness index calculation method
CN110288233A (en) * 2019-06-26 2019-09-27 重庆科技学院 A kind of deep layer shale gas compressibility evaluation method based on fuzzy gray correlation theroy method
CN110426751A (en) * 2019-08-09 2019-11-08 中国石油天然气股份有限公司 Method for predicting transverse wave time difference by using logging data
CN110566171A (en) * 2019-07-15 2019-12-13 西南石油大学 Ultrahigh pressure tight fractured sandstone gas reservoir sand production prediction method
CN110618456A (en) * 2019-10-24 2019-12-27 西南石油大学 Method for determining years of multi-period active fracture of sedimentary basin
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CN111396057A (en) * 2020-03-04 2020-07-10 中国石油大学(华东) Deep shale reservoir brittleness evaluation method and computer readable storage medium
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CN112649858A (en) * 2019-10-11 2021-04-13 中国石油化工股份有限公司 Shale brittleness prediction method and system based on core test
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US216609A (en) * 1879-06-17 Improvement in hotel and restaurant waiters
EP0216609A2 (en) * 1985-09-19 1987-04-01 Seislith Development, Inc. Method of acquiring and interpreting seismic data to obtain lithological parameters
US20080288172A1 (en) * 2000-07-14 2008-11-20 Schlumberger Technology Corporation Simulation method and apparatus for determining subsidence in a reservoir
CN103344705A (en) * 2013-06-25 2013-10-09 中国石油大学(北京) Method of measuring rock brittleness index through applying acoustic emission energy values
CN104677734A (en) * 2015-02-12 2015-06-03 中国石油大学(华东) Multi-scale information integration tight formation brittleness index measuring method
CN105221141A (en) * 2014-06-23 2016-01-06 中国石油化工股份有限公司 A kind of mud shale brittleness index Forecasting Methodology
CN105221140A (en) * 2014-06-20 2016-01-06 中国石油化工股份有限公司 A kind ofly determine that shale formation can the method for pressure break sex index
CN105675635A (en) * 2015-12-31 2016-06-15 中国石油天然气股份有限公司 Method and device for determining relative content of components of compact rock and brittleness index

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US216609A (en) * 1879-06-17 Improvement in hotel and restaurant waiters
EP0216609A2 (en) * 1985-09-19 1987-04-01 Seislith Development, Inc. Method of acquiring and interpreting seismic data to obtain lithological parameters
US20080288172A1 (en) * 2000-07-14 2008-11-20 Schlumberger Technology Corporation Simulation method and apparatus for determining subsidence in a reservoir
CN103344705A (en) * 2013-06-25 2013-10-09 中国石油大学(北京) Method of measuring rock brittleness index through applying acoustic emission energy values
CN105221140A (en) * 2014-06-20 2016-01-06 中国石油化工股份有限公司 A kind ofly determine that shale formation can the method for pressure break sex index
CN105221141A (en) * 2014-06-23 2016-01-06 中国石油化工股份有限公司 A kind of mud shale brittleness index Forecasting Methodology
CN104677734A (en) * 2015-02-12 2015-06-03 中国石油大学(华东) Multi-scale information integration tight formation brittleness index measuring method
CN105675635A (en) * 2015-12-31 2016-06-15 中国石油天然气股份有限公司 Method and device for determining relative content of components of compact rock and brittleness index

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
PENG ZHU 等: ""Micro-fracture characteristics of tight sandstone reservoirs and its evaluation by capillary pressure curves: A case study of Permian sandstones in Ordos Basin, China"", 《JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING》 *
徐赣川 等: ""基于岩石物理实验的页岩脆性测井评价方法"", 《天然气工业》 *
王云飞 等: ""不同围压下煤岩变形与剪胀扩容模型"", 《水文地质工程地质》 *
许孝凯 等: ""复杂储层岩石脆性分析及应用研究"", 《测井技术》 *
赵星光 等: ""岩石剪胀角模型与验证"", 《岩石力学与工程学报》 *

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CN112085305A (en) * 2019-06-13 2020-12-15 中国石油天然气集团有限公司 Method and device for evaluating storage layer seam network performance
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