CN109492938B - Dessert indicator factor-based deep carbonate reservoir quality evaluation method - Google Patents

Dessert indicator factor-based deep carbonate reservoir quality evaluation method Download PDF

Info

Publication number
CN109492938B
CN109492938B CN201811483664.2A CN201811483664A CN109492938B CN 109492938 B CN109492938 B CN 109492938B CN 201811483664 A CN201811483664 A CN 201811483664A CN 109492938 B CN109492938 B CN 109492938B
Authority
CN
China
Prior art keywords
reservoir
dessert
deep carbonate
deep
factor
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811483664.2A
Other languages
Chinese (zh)
Other versions
CN109492938A (en
Inventor
赵峦啸
王一戎
耿建华
麻纪强
牛丽萍
王莹莹
杨靖康
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tongji University
Original Assignee
Tongji University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tongji University filed Critical Tongji University
Priority to CN201811483664.2A priority Critical patent/CN109492938B/en
Publication of CN109492938A publication Critical patent/CN109492938A/en
Application granted granted Critical
Publication of CN109492938B publication Critical patent/CN109492938B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395Quality analysis or management

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

The invention relates to a dessert indicator factor-based deep carbonate reservoir quality evaluation method, which comprises the following steps of: 1) respectively acquiring porosity, lithology, hydrocarbon-containing property and fracture density data of a deep carbonate reservoir through logging data; 2) obtaining a dessert indicator factor F of a deep carbonate reservoir; 3) according to the normalized dessert indicating factor
Figure DDA0001891821260000011
The quality of the carbonate reservoir is evaluated. Compared with the prior art, the method has the advantages of suitability for deep carbonate reservoirs, quantitative evaluation and the like.

Description

Dessert indicator factor-based deep carbonate rock reservoir quality evaluation method
Technical Field
The invention relates to the field of geophysical, in particular to a method for evaluating the quality of a deep carbonate reservoir based on dessert indicator factors.
Background
Deep carbonate rock often has the characteristics of compact reservoir, strong heterogeneity and the like, so that the quality of the reservoir is difficult to effectively evaluate by using single physical rock parameters.
The existing reservoir sweet spot indicator mainly aims at the conventional clastic rock reservoir, and the reservoir description parameters are mainly considered: porosity, permeability, and saturation, which are difficult to use in deep tight reservoirs, especially carbonate reservoirs with strong non-homogeneity, mainly because it is difficult to distinguish deep premium reservoirs from normal reservoirs with a single evaluation factor.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a method for evaluating the quality of a deep carbonate reservoir based on a dessert indicator factor.
The purpose of the invention can be realized by the following technical scheme:
1. a dessert indicating factor-based deep carbonate reservoir quality evaluation method is used for indicating the quality of a deep carbonate reservoir oil and gas reservoir and comprises the following steps:
1) respectively acquiring porosity, lithology, hydrocarbon-containing property and fracture density data of a deep carbonate reservoir through logging data;
2) obtaining a dessert indicator factor F of a deep carbonate reservoir;
3) according to the normalized dessert indicating factor
Figure BDA0001891821240000013
The quality of the carbonate reservoir is evaluated.
In the step 2), the expression of the dessert indicating factor F of the deep carbonate reservoir is as follows:
Figure BDA0001891821240000011
wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0001891821240000012
is porosity, VdolomiteIs dolomitic content, SwWater saturation and Cr fracture density.
In the step 2), dessert indicator factors are obtained according to the sweeter physical characterization of desserts in the deep carbonate reservoir, wherein the sweeter physical characterization of desserts is as follows:
because the compression-resistant characteristic and the pore specific surface area of the dolomite are small, the higher the content of the dolomite in the carbonate reservoir, the larger the porosity, and the better the oil-gas-containing property.
Each single rock physical parameter has low sensitivity to the reservoir quality evaluation and the high-quality reservoir indication, so the rock physical parameters influencing the reservoir quality evaluation are comprehensively considered. In addition, the dessert indicator factor is obtained according to the physical characterization of 'dessert sweeter' in the deep carbonate reservoir, and the physical characterization of the dessert sweeter is specifically as follows:
due to the compaction resistance and the small specific pore surface area of the dolomite, the higher the content of the dolomite, the larger the porosity of the dolomite, and the better the oil and gas properties.
On the basis, important parameters for controlling the permeability of the deep carbonate reservoir are also considered: the higher the fracture density, namely the higher the fracture density, the better the permeability of the reservoir, and the more beneficial to the flow and development of the oil and gas reservoir.
The step 3) is specifically as follows:
if it is
Figure BDA0001891821240000021
The section of deep carbonate rock is a non-reservoir section;
if it is
Figure BDA0001891821240000022
Judging the section of deep carbonate rock to be a III-type reservoir;
if it is
Figure BDA0001891821240000023
Judging the section of deep carbonate rock to be a II-type reservoir;
if it is
Figure BDA0001891821240000024
And judging the section of deep carbonate rock to be a type I reservoir.
Compared with the prior art, the invention has the following advantages:
the method is suitable for a deep carbonate reservoir: the evaluation of the dessert indicating factor of the deep carbonate rock reservoir comprehensively considers lithology, reservoir performance, flow performance and oil-gas containing performance, and quantitatively evaluates the reservoir quality similarly to an amplifier;
secondly, quantitative evaluation: most of the existing deep carbonate reservoir quality evaluation is qualitative, and the dessert indicator factor provided by the invention can quantitatively evaluate the deep carbonate reservoir quality;
thirdly, the dessert indicator factor of the deep carbonate reservoir has a good mapping relation with the elastic characteristics, so that a new idea is provided for reservoir quality quantitative evaluation based on the pre-stack seismic inversion result and the seismic elastic property.
Drawings
FIG. 1 is a technical flow diagram of a deep carbonate reservoir sweet spot indicator based on well log data.
Fig. 2 is a rock physical parameter relationship based on well logging data of a certain deep carbonate reservoir in northeast china, wherein fig. 2a is a relationship between dolostone content and porosity, and fig. 2b is a relationship between porosity and water saturation.
FIG. 3 is a graph of the effect of the application of the dessert indicator factor calculated based on well log data of a certain deep carbonate rock in northeast Chuan.
Fig. 4 is a graph representing the elastic characteristics (longitudinal wave impedance and longitudinal-transverse wave velocity ratio) of the dessert evaluation factor.
The notation in the figure is:
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
Examples
According to the invention, geological analysis and rock physical parameter statistics of the carbonate reservoir show that physical representation of 'sweet desserts' exists among rock physical parameters of the deep carbonate reservoir, namely, the rule that the content of dolomite in the carbonate reservoir is higher, the porosity is higher, the fracture density is higher, the permeability is higher, and the hydrocarbon-containing property is better is shown. Based on the geological characteristics and the physical laws, a deep carbonate dessert indicator factor integrating the rock physical parameters is constructed and used as an 'amplifier' for reservoir quality evaluation to indicate the quality of a carbonate oil and gas reservoir.
The specific technical process and principle of the invention are as follows:
1) and acquiring rock physical parameters related to the rock physics and the porosity, the mineral content, the hydrocarbon-bearing property and the fracture density of the deep carbonate reservoir from the logging data. The porosity can be better preserved as dolomite is more resistant to compaction than other mineral contents (such as limestone, gypsum rock) and the like, and greater porosity often represents better reservoir performance of carbonate rock at the depth; meanwhile, the rock with higher porosity has larger pore throat size and smaller corresponding capillary force, oil gas is more favorable to being filled in the geological age, and the oil gas content is better. Meanwhile, the dolomite mineral is subjected to a physical crystallization process, so that the pore size is large, the specific surface area is small, and the ratio of adsorbed water is low while the oil-gas saturation is high. Finally, the transport performance of deep carbonate reservoirs is mainly dependent on the distribution density of fractures, so that the fracture density can effectively indicate the flow performance and permeability of the rock. Here, the fracture density can be obtained from pore type inversion, resistivity imaging logs, core descriptions.
2) Because each rock physical parameter has limited sensitivity in a deep carbonate reservoir, in order to amplify the sensitivity of the reservoir sweet spot indication parameter, the sweet spot indication factor provided herein comprehensively considers the parameters having indication significance on the reservoir performance, and the following reservoir sweet spot indication factor expression can be obtained:
Figure BDA0001891821240000031
wherein F is a dessert indicating factor,
Figure BDA0001891821240000041
is porosity, VdolomiteIs dolomitic content, SwWater saturation and Cr fracture density.
3) And applying the dessert indicating factor to the logging data of the work area, carrying out normalization processing on the calculated dessert indicating factor, evaluating the reservoir quality of different geological intervals, and classifying and grading the reservoir.
4) The dessert evaluation factor is used for calibrating rock elastic properties (such as longitudinal and transverse wave impedance and longitudinal and transverse wave velocity ratio) and establishing a mapping relation between the dessert evaluation factor and the seismic elastic properties, so that a foundation is laid for high-quality reservoir prediction and reservoir quality evaluation based on pre-stack seismic inversion results or seismic elastic properties.
As shown in fig. 1, fig. 1 is a deep carbonate reservoir sweet spot indicator technical workflow based on well log data, and porosity, lithology (mainly dolomite content), oil-gas content (which can be obtained from water saturation), and fracture density (which can be obtained by pore type inversion or resistivity logging) are obtained from the well log data. Combining the parameters to obtain the dessert indicator factor of the deep carbonate reservoir.
As shown in fig. 2, fig. 2 is a petrophysical parameter relationship (2a) a dolomite content and porosity relationship, and (2b) a porosity and water saturation relationship based on well logging data of a carbonate reservoir at a deep layer in northeast china. From this figure, it can be seen that the higher the dolomite content the higher the porosity of the rock, the larger the corresponding reservoir space; and as the porosity is increased, the water saturation of the rock is correspondingly reduced, and the oil-gas content of the rock is correspondingly increased. Such phenomena reveal that the deep dolomite reservoir has the physical characterization of "sweet desserts", i.e. the higher the dolomite content, the greater the porosity, the higher the permeability, the better the gas content, which is also the physical basis for the deep dessert indicator.
As shown in fig. 3, fig. 3 illustrates the application effect of the dessert indicating factor calculated by using the well logging data of a deep carbonate reservoir in northeast-chuan. The fracture density is obtained by pore type inversion based on acoustic velocity-porosity, and is calibrated by core data. The sweet spot indicator > 0.5 can be regarded as a type I reservoir, the sweet spot indicator > 0.5> 0.25 can be regarded as a type II reservoir, the sweet spot indicator >0 can be regarded as a type III reservoir, and the sweet spot indicator >0 can be regarded as a non-reservoir section, which is better in accordance with the reservoir quality classification evaluation in the logging geological interpretation result. The dessert indicating factor newly proposed by the invention also comprehensively considers the combined action of lithology, porosity, water saturation and fracture density. At the same time, it can be seen that the higher sweet spot indicator also corresponds to the higher permeability measured for the core, which also demonstrates that the sweet spot indicator is a good indicator of the flow properties of the reservoir.
As shown in fig. 4, fig. 4 is a graph of normalizing the calculated sweet spot evaluation factor with respect to the longitudinal wave impedance and the longitudinal-to-transverse wave velocity ratio. The black dots represent the non-reservoir segment, the dots with other colors represent the reservoir segment with the dessert evaluating factor larger than 0, it can be seen that the dessert evaluating factor has a better mapping relationship with the elastic characteristic, the dots of the non-reservoir segment (the dessert indicating factor equal to 0) have very high longitudinal wave impedance and longitudinal-to-transverse wave velocity ratio, and the reservoir segment (the dessert evaluating factor >0) has relatively low longitudinal wave impedance and longitudinal-to-transverse wave velocity ratio, which also indicates that the dessert indicating factor can distinguish the reservoir from the non-reservoir by using the elastic data to a certain extent. Meanwhile, in the reservoir section, the dessert indicating factor with a higher numerical value has lower longitudinal wave impedance and longitudinal and transverse wave velocity ratio than the dessert indicating factor with a lower numerical value, and a foundation is laid for reservoir quality quantitative prediction based on the seismic elasticity attribute.

Claims (1)

1. A dessert indicator factor-based deep carbonate reservoir quality evaluation method is used for indicating the quality of a deep carbonate reservoir, and is characterized by comprising the following steps:
1) respectively acquiring porosity, lithology, hydrocarbon-containing property and fracture density data of a deep carbonate reservoir through logging data;
2) obtaining a dessert indicator factor F of the deep carbonate reservoir, wherein the expression of the dessert indicator factor F of the deep carbonate reservoir is as follows:
Figure FDA0003335983700000011
wherein the content of the first and second substances,
Figure FDA0003335983700000012
is porosity, VdolomiteIs dolomitic content, SwIs the water saturation, Cr isFracture density;
obtaining a dessert indicator factor according to the physical characterization that the dessert in the deep carbonate reservoir is sweeter, wherein the physical characterization that the dessert is sweeter is as follows:
because the compaction resistance characteristic and the specific pore surface area of the dolomite are small, the higher the content of the dolomite in the carbonate reservoir, the larger the porosity is, and the better the oil-gas containing property is;
3) according to the normalized dessert indicating factor
Figure FDA0003335983700000013
The quality of a carbonate reservoir is evaluated, and the method specifically comprises the following steps:
if it is
Figure FDA0003335983700000014
The section of deep carbonate rock is a non-reservoir section;
if it is
Figure FDA0003335983700000015
Judging the section of deep carbonate rock to be a III-type reservoir;
if it is
Figure FDA0003335983700000016
Judging the section of deep carbonate rock to be a II-type reservoir;
if it is
Figure FDA0003335983700000017
And judging the section of deep carbonate rock to be a type I reservoir.
CN201811483664.2A 2018-12-04 2018-12-04 Dessert indicator factor-based deep carbonate reservoir quality evaluation method Active CN109492938B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811483664.2A CN109492938B (en) 2018-12-04 2018-12-04 Dessert indicator factor-based deep carbonate reservoir quality evaluation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811483664.2A CN109492938B (en) 2018-12-04 2018-12-04 Dessert indicator factor-based deep carbonate reservoir quality evaluation method

Publications (2)

Publication Number Publication Date
CN109492938A CN109492938A (en) 2019-03-19
CN109492938B true CN109492938B (en) 2022-06-14

Family

ID=65699195

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811483664.2A Active CN109492938B (en) 2018-12-04 2018-12-04 Dessert indicator factor-based deep carbonate reservoir quality evaluation method

Country Status (1)

Country Link
CN (1) CN109492938B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110245462B (en) * 2019-07-09 2022-06-07 西南石油大学 Carbonate rock porosity prediction method and prediction model construction method

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104853822A (en) * 2014-09-19 2015-08-19 杨顺伟 Method for evaluating shale gas reservoir and searching sweet spot region
CN104977618A (en) * 2014-04-09 2015-10-14 中国石油集团东方地球物理勘探有限责任公司 Method for evaluating shale gas reservoir and finding dessert area
CN105700013A (en) * 2016-04-26 2016-06-22 中国石油集团川庆钻探工程有限公司地球物理勘探公司 Method for constructing shale gas sweet spot productivity model
CN105986816A (en) * 2015-02-27 2016-10-05 中国石油化工股份有限公司 Method for recognizing sweet spots in shale stratum
CN105986817A (en) * 2015-02-27 2016-10-05 中国石油化工股份有限公司 Method for recognizing engineering sweet spots in shale stratum
CN106021793A (en) * 2016-06-01 2016-10-12 中国地质大学(武汉) Low-permeability reservoir sweet spot evaluation method based on storage coefficients and seepage coefficients
CN106526669A (en) * 2016-09-19 2017-03-22 中国石油化工股份有限公司 Shale oil and gas reservoir seismic reservoir prediction method
CN107102354A (en) * 2016-12-21 2017-08-29 中国石油化工股份有限公司江汉油田分公司物探研究院 A kind of shale dessert seismic Integrated Evaluation method
CN107218032A (en) * 2017-05-02 2017-09-29 中国石油大学(北京) Compact reservoir sugariness evaluation method and device
CN108661628A (en) * 2017-03-31 2018-10-16 中国石油化工股份有限公司 One kind being based on the preferred engineering dessert quantitative evaluation method of parameter
CN108825216A (en) * 2018-04-03 2018-11-16 中国石油天然气股份有限公司 A kind of method in quantitative assessment carbonate gas reservoirs potentiality to be exploited area

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106204303A (en) * 2016-07-08 2016-12-07 西安石油大学 A kind of shale gas reservoir compressibility evaluation methodology based on weight distribution

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104977618A (en) * 2014-04-09 2015-10-14 中国石油集团东方地球物理勘探有限责任公司 Method for evaluating shale gas reservoir and finding dessert area
CN104853822A (en) * 2014-09-19 2015-08-19 杨顺伟 Method for evaluating shale gas reservoir and searching sweet spot region
CN105986816A (en) * 2015-02-27 2016-10-05 中国石油化工股份有限公司 Method for recognizing sweet spots in shale stratum
CN105986817A (en) * 2015-02-27 2016-10-05 中国石油化工股份有限公司 Method for recognizing engineering sweet spots in shale stratum
CN105700013A (en) * 2016-04-26 2016-06-22 中国石油集团川庆钻探工程有限公司地球物理勘探公司 Method for constructing shale gas sweet spot productivity model
CN106021793A (en) * 2016-06-01 2016-10-12 中国地质大学(武汉) Low-permeability reservoir sweet spot evaluation method based on storage coefficients and seepage coefficients
CN106526669A (en) * 2016-09-19 2017-03-22 中国石油化工股份有限公司 Shale oil and gas reservoir seismic reservoir prediction method
CN107102354A (en) * 2016-12-21 2017-08-29 中国石油化工股份有限公司江汉油田分公司物探研究院 A kind of shale dessert seismic Integrated Evaluation method
CN108661628A (en) * 2017-03-31 2018-10-16 中国石油化工股份有限公司 One kind being based on the preferred engineering dessert quantitative evaluation method of parameter
CN107218032A (en) * 2017-05-02 2017-09-29 中国石油大学(北京) Compact reservoir sugariness evaluation method and device
CN108825216A (en) * 2018-04-03 2018-11-16 中国石油天然气股份有限公司 A kind of method in quantitative assessment carbonate gas reservoirs potentiality to be exploited area

Also Published As

Publication number Publication date
CN109492938A (en) 2019-03-19

Similar Documents

Publication Publication Date Title
WO2017024700A1 (en) Device for calculating content of organic carbon in source rock
Lee Models for gas hydrate-bearing sediments inferred from hydraulic permeability and elastic velocities
CN103603659A (en) Method for identifying fluid type of reservoir with complicated pore structure by using conventional logging information
CN107829731B (en) Clay alteration volcanic porosity correction method
CN110320569B (en) Quantitative evaluation method for single well fracture development strength of compact sandstone reservoir
CN112145165B (en) Microcrack-pore type reservoir dynamic and static permeability conversion method
CN106777649B (en) Quantitative evaluation method for pore structure of fractured reservoir
CN109492938B (en) Dessert indicator factor-based deep carbonate reservoir quality evaluation method
CN111381292B (en) Logging interpretation method and device for predicting sandstone hydrocarbon-bearing reservoir
CN107762483A (en) A kind of Fluid Identification Method of coefficient correlation and envelope size based on log
CN113216945B (en) Quantitative evaluation method for permeability of tight sandstone reservoir
CN110344822B (en) Determination method of water saturation of calcareous compact reservoir
Zughar et al. Petrophysical properties of an Iraqi carbonate reservoir using well log evaluation
CN112835124A (en) Fracture effectiveness evaluation method based on imaging logging and array acoustic logging data
CN113006779A (en) Evaluation method and correction method for drillability level value of conglomerate stratum rock
CN109826623B (en) Geophysical well logging identification method for tight sandstone reservoir bedding joints
CN110399649B (en) Metamorphic rock quantitative identification method based on diagenetic indicating element
Grützner et al. Physical property changes as a monitor of pelagic carbonate diagenesis: an empirically derived diagenetic model for Atlantic Ocean basins
CN112746835A (en) Optimized deep shale gas geology dessert logging comprehensive evaluation method
CN111650644B (en) Quantitative prediction method for salt cemented sandstone
WO2009153443A1 (en) Method for determining fluid pressures and for detecting overpressures in an underground medium
CN112133376A (en) Fluid identification method for bulk modulus of water-saturated stratum
CN114086938A (en) Gas saturation prediction method for heterogeneous sandstone reservoir
Hoang Defining Reservoir Quality Relationships: How Important Are Overburden and Klinkenberg Corrections?
CN108756867B (en) Method for fracturing and selecting layer based on acoustic logging curve and resistivity logging curve

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant