[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN104951613A - Railway tamping parameter optimized design method based on response surface model - Google Patents

Railway tamping parameter optimized design method based on response surface model Download PDF

Info

Publication number
CN104951613A
CN104951613A CN201510369793.9A CN201510369793A CN104951613A CN 104951613 A CN104951613 A CN 104951613A CN 201510369793 A CN201510369793 A CN 201510369793A CN 104951613 A CN104951613 A CN 104951613A
Authority
CN
China
Prior art keywords
ramming
firm
tamping
index
railway
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.)
Granted
Application number
CN201510369793.9A
Other languages
Chinese (zh)
Other versions
CN104951613B (en
Inventor
周陶勇
胡斌
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.)
Kunming University of Science and Technology
Original Assignee
Kunming University of Science and Technology
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 Kunming University of Science and Technology filed Critical Kunming University of Science and Technology
Priority to CN201510369793.9A priority Critical patent/CN104951613B/en
Publication of CN104951613A publication Critical patent/CN104951613A/en
Application granted granted Critical
Publication of CN104951613B publication Critical patent/CN104951613B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Machines For Laying And Maintaining Railways (AREA)

Abstract

The invention relates to a railway tamping parameter optimized design method, in particular to a railway tamping parameter optimized design method based on a response surface model. The method includes the steps that a discrete element analysis model of railway tamping is established; a tamping index, an optimization objective of the tamping index, a tamping parameter and design space of the tamping parameter are determined; test sample points are selected; analytical computation is performed, and a tamping index response value is extracted; a polynomial response surface model is established; a tamping index optimization value and a tamping parameter optimization value corresponding to the tamping index optimization value are searched for; check analysis is performed on the tamping parameter optimization value. The method aims at railway tracks under different conditions, numerical simulation and analytical calculation are performed on a small number of selected test sample points, the optimum tamping parameter can be obtained, and the optimization efficiency and the optimization precision of the tamping parameter are improved.

Description

Method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model
Technical field
The present invention relates to a kind of railway and make method for optimally designing parameters firm by ramming, particularly relate to a kind of railway based on response surface model and make method for optimally designing parameters firm by ramming.
Background technology
Railway tamping operation is one of key operation having tiny fragments of stone, coal, etc. railway maintenance and maintenance, is clamped by the railway ballast of tamping pickaxe to railway ballast in tamping tool and is vibrated, and improves the packing of railway roadbed, increases the stability of track, ensures the security of operation of train.
Practice shows, the quality of tamping result depends primarily on the selection of making parameter firm by ramming, and the railroad track of different situation is different to the requirement of making parameter firm by ramming, and therefore for the railroad track of different situation, the optimization carrying out making firm by ramming parameter just seems extremely important.At present, usually adopt relative method to the optimization of making parameter firm by ramming, namely designer is according to correlation experience, arranges the parameter combinations of some to carry out numerical simulation and analytical calculation, therefrom selects a best parameter combinations.This method, in order to improve optimization precision, require to arrange parameter combinations as much as possible to carry out numerical simulation and analytical calculation, require a great deal of time and energy, optimization efficiency is lower, and cannot ensure that optimum parameter combinations fixes in the parameter combinations be arranged with regard to one, namely optimize precision and can not be guaranteed.
Summary of the invention
The invention provides a kind of railway based on response surface model and make method for optimally designing parameters firm by ramming, for addressing the deficiencies of the prior art, caused parameter optimization efficiency comparison of making firm by ramming is low and optimize the problem that precision can not be guaranteed.
Technical scheme of the present invention is: method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model, and the concrete steps of described method are as follows:
Step1, actual state according to railroad track, use the analytical model that DEM analysis software creation railway is made firm by ramming;
Step2, determine to embody railway tamping result make index and optimization aim thereof firm by ramming, and determine to have a significant effect to tamping result make parameter and design space thereof firm by ramming;
Step3, the design space determined according to step Step2, service test method for designing, chooses the test sample point that railway is made firm by ramming;
Step4, the test sample point chosen according to step Step3, use DEM analysis method to carry out analytical calculation to the analytical model that step Step1 creates, and that extracts embodiment railway tamping result makes index response firm by ramming;
Step5, the response obtained according to step Step4, use regression analysis, sets up the polynomial response surface model that reflection is made index firm by ramming and made relation between parameter firm by ramming;
Step6, the polynomial response surface model created according to step Step5 and the optimization aim determined of step Step2, use genetic algorithm, find make firm by ramming index optimum time make firm by ramming index optimization value and corresponding thereto make parameter optimization value firm by ramming;
Step7, obtain according to step Step6 make parameter optimization value firm by ramming, analytical calculation is carried out to the analytical model that step Step1 creates, index response is made in extraction firm by ramming, if index response and step Step6 obtain that to make index optimization value firm by ramming more identical for making firm by ramming of extracting, then meets the demands, optimizing process terminates, export optimum results, otherwise, get back to step Step5 and rebuild polynomial response surface model, proceed to optimize, until meet the demands.
The actual state of described railroad track, comprises the specification of rail and sleeper, sleeper pitch, the material of railway ballast particle, size and grating, the blast bed compactness before tamping operation.
Described index of making firm by ramming makes the blast bed compactness below the sleeper of region firm by ramming, described optimization aim is that blast bed compactness is the bigger the better, described parameter of making firm by ramming is the amplitude of tamping pickaxe and the vibration frequency of tamping pickaxe, described design space is that the amplitude of tamping pickaxe changes within the scope of 1 ~ 13mm, and the vibration frequency of tamping pickaxe changes within the scope of 5 ~ 65Hz.
The invention has the beneficial effects as follows: have employed above-mentioned a kind of railway based on response surface model and make method for optimally designing parameters firm by ramming, for the railroad track of different situation, a small amount of several test sample points are selected to carry out numerical simulation and analytical calculation, what just can obtain optimum makes parameter firm by ramming, improves the optimization efficiency and optimization precision of making parameter firm by ramming.
Accompanying drawing explanation
Fig. 1 is that method for optimally designing parameters process flow diagram made firm by ramming by railway of the present invention;
Fig. 2 is blast bed compactness response surface design figure of the present invention.
Embodiment
Embodiment 1: as shown in Figure 1-2, method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model, and the concrete steps of described method are as follows:
Step1, actual state according to railroad track, use the analytical model that DEM analysis software creation railway is made firm by ramming;
Step2, determine to embody railway tamping result make index and optimization aim thereof firm by ramming, and determine to have a significant effect to tamping result make parameter and design space thereof firm by ramming;
Step3, the design space determined according to step Step2, service test method for designing, chooses the test sample point that railway is made firm by ramming;
Step4, the test sample point chosen according to step Step3, use DEM analysis method to carry out analytical calculation to the analytical model that step Step1 creates, and that extracts embodiment railway tamping result makes index response firm by ramming;
Step5, the response obtained according to step Step4, use regression analysis, sets up the polynomial response surface model that reflection is made index firm by ramming and made relation between parameter firm by ramming;
Step6, the polynomial response surface model created according to step Step5 and the optimization aim determined of step Step2, use genetic algorithm, find make firm by ramming index optimum time make firm by ramming index optimization value and corresponding thereto make parameter optimization value firm by ramming;
Step7, obtain according to step Step6 make parameter optimization value firm by ramming, analytical calculation is carried out to the analytical model that step Step1 creates, index response is made in extraction firm by ramming, if index response and step Step6 obtain that to make index optimization value firm by ramming more identical for making firm by ramming of extracting, then meets the demands, optimizing process terminates, export optimum results, otherwise, get back to step Step5 and rebuild polynomial response surface model, proceed to optimize, until meet the demands.
The actual state of described railroad track, comprises the specification of rail and sleeper, sleeper pitch, the material of railway ballast particle, size and grating, the blast bed compactness before tamping operation.
Described index of making firm by ramming makes the blast bed compactness below the sleeper of region firm by ramming, described optimization aim is that blast bed compactness is the bigger the better, described parameter of making firm by ramming is the amplitude of tamping pickaxe and the vibration frequency of tamping pickaxe, described design space is that the amplitude of tamping pickaxe changes within the scope of 1 ~ 13mm, and the vibration frequency of tamping pickaxe changes within the scope of 5 ~ 65Hz.
Embodiment 2: as shown in Figure 1-2, method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model, and the concrete steps of described method are as follows:
Step1, actual state according to railroad track, use the analytical model that DEM analysis software creation railway is made firm by ramming;
Step2, determine to embody railway tamping result make index and optimization aim thereof firm by ramming, and determine to have a significant effect to tamping result make parameter and design space thereof firm by ramming;
Step3, the design space determined according to step Step2, service test method for designing, chooses the test sample point that railway is made firm by ramming;
Step4, the test sample point chosen according to step Step3, use DEM analysis method to carry out analytical calculation to the analytical model that step Step1 creates, and that extracts embodiment railway tamping result makes index response firm by ramming;
Step5, the response obtained according to step Step4, use regression analysis, sets up the polynomial response surface model that reflection is made index firm by ramming and made relation between parameter firm by ramming;
Step6, the polynomial response surface model created according to step Step5 and the optimization aim determined of step Step2, use genetic algorithm, find make firm by ramming index optimum time make firm by ramming index optimization value and corresponding thereto make parameter optimization value firm by ramming;
Step7, obtain according to step Step6 make parameter optimization value firm by ramming, analytical calculation is carried out to the analytical model that step Step1 creates, index response is made in extraction firm by ramming, if index response and step Step6 obtain that to make index optimization value firm by ramming more identical for making firm by ramming of extracting, then meets the demands, optimizing process terminates, export optimum results, otherwise, get back to step Step5 and rebuild polynomial response surface model, proceed to optimize, until meet the demands.
The actual state of described railroad track, comprises the specification of rail and sleeper, sleeper pitch, the material of railway ballast particle, size and grating, the blast bed compactness before tamping operation.
Embodiment 3: as shown in Figure 1-2, method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model, and the concrete steps of described method are as follows:
Step1, actual state according to railroad track, use the analytical model that DEM analysis software creation railway is made firm by ramming;
Step2, determine to embody railway tamping result make index and optimization aim thereof firm by ramming, and determine to have a significant effect to tamping result make parameter and design space thereof firm by ramming;
Step3, the design space determined according to step Step2, service test method for designing, chooses the test sample point that railway is made firm by ramming;
Step4, the test sample point chosen according to step Step3, use DEM analysis method to carry out analytical calculation to the analytical model that step Step1 creates, and that extracts embodiment railway tamping result makes index response firm by ramming;
Step5, the response obtained according to step Step4, use regression analysis, sets up the polynomial response surface model that reflection is made index firm by ramming and made relation between parameter firm by ramming;
Step6, the polynomial response surface model created according to step Step5 and the optimization aim determined of step Step2, use genetic algorithm, find make firm by ramming index optimum time make firm by ramming index optimization value and corresponding thereto make parameter optimization value firm by ramming;
Step7, obtain according to step Step6 make parameter optimization value firm by ramming, analytical calculation is carried out to the analytical model that step Step1 creates, index response is made in extraction firm by ramming, if index response and step Step6 obtain that to make index optimization value firm by ramming more identical for making firm by ramming of extracting, then meets the demands, optimizing process terminates, export optimum results, otherwise, get back to step Step5 and rebuild polynomial response surface model, proceed to optimize, until meet the demands.
Described index of making firm by ramming makes the blast bed compactness below the sleeper of region firm by ramming, described optimization aim is that blast bed compactness is the bigger the better, described parameter of making firm by ramming is the amplitude of tamping pickaxe and the vibration frequency of tamping pickaxe, described design space is that the amplitude of tamping pickaxe changes within the scope of 1 ~ 13mm, and the vibration frequency of tamping pickaxe changes within the scope of 5 ~ 65Hz.
Embodiment 4: as shown in Figure 1-2, method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model, and the concrete steps of described method are as follows:
Step1, actual state according to railroad track, use the analytical model that DEM analysis software creation railway is made firm by ramming;
Step2, determine to embody railway tamping result make index and optimization aim thereof firm by ramming, and determine to have a significant effect to tamping result make parameter and design space thereof firm by ramming;
Step3, the design space determined according to step Step2, service test method for designing, chooses the test sample point that railway is made firm by ramming;
Step4, the test sample point chosen according to step Step3, use DEM analysis method to carry out analytical calculation to the analytical model that step Step1 creates, and that extracts embodiment railway tamping result makes index response firm by ramming;
Step5, the response obtained according to step Step4, use regression analysis, sets up the polynomial response surface model that reflection is made index firm by ramming and made relation between parameter firm by ramming;
Step6, the polynomial response surface model created according to step Step5 and the optimization aim determined of step Step2, use genetic algorithm, find make firm by ramming index optimum time make firm by ramming index optimization value and corresponding thereto make parameter optimization value firm by ramming;
Step7, obtain according to step Step6 make parameter optimization value firm by ramming, analytical calculation is carried out to the analytical model that step Step1 creates, index response is made in extraction firm by ramming, if index response and step Step6 obtain that to make index optimization value firm by ramming more identical for making firm by ramming of extracting, then meets the demands, optimizing process terminates, export optimum results, otherwise, get back to step Step5 and rebuild polynomial response surface model, proceed to optimize, until meet the demands.
Embodiment 5: as shown in Figure 1-2, method for optimally designing parameters made firm by ramming by a kind of railway based on response surface model, and the concrete steps of described method are as follows:
(1) according to the actual state of railroad track, the model selecting rail is 60kg/m, and the model of sleeper is II type concrete sleeper, and the spacing of sleeper is 570mm, and the material of railway ballast is grouan, and the density of railway ballast is 2600kg/m 3, the particle diameter size of railway ballast is respectively 35mm, 45mm, 55mm, wherein 35mm account for 30%, 45mm account for 50%, 55mm account for 20%, the blast bed compactness before tamping operation is 0.595, uses the analytical model that DEM analysis software creation railway is made firm by ramming;
(2) determine that the index of making firm by ramming embodying railway tamping result is make the blast bed compactness below the sleeper of region firm by ramming, the optimization aim of making parameter firm by ramming is that blast bed compactness is the bigger the better, determine have the parameter of making firm by ramming of considerable influence to be the amplitude of tamping pickaxe and the vibration frequency of tamping pickaxe to tamping result, the design space determining to make firm by ramming parameter is that the amplitude of tamping pickaxe changes within the scope of 1 ~ 13mm, and the vibration frequency of tamping pickaxe changes within the scope of 5 ~ 65Hz.
(3) according to the design space determined, use Central Composite test design method, choose the test sample point that railway is made firm by ramming, as shown in table 1;
(4) according to the test sample point that table 1 is chosen, use DEM analysis method to carry out analytical calculation to the analytical model created, extract the blast bed compactness response embodying railway tamping result, as shown in table 1;
Table 1
(5) according to the response that table 1 obtains, use regression analysis, set up the second order regression equation of the polynomial response surface model reflecting blast bed compactness and make relation between parameter firm by ramming, as shown in Equation 1;
(1)
According to the second order regression equation of the polynomial response surface model of gained, the blast bed compactness response surface design figure reflecting blast bed compactness and make relation between parameter firm by ramming can be drawn, as shown in Figure 2;
(6) according to second order polynomial regression equation and optimization aim, use genetic algorithm, trying to achieve blast bed compactness optimal value is 0.643, and the amplitude of tamping pickaxe is corresponding thereto the vibration frequency of 8.9mm and tamping pickaxe is 42Hz;
(7) vibration frequency being 8.9mm and tamping pickaxe according to the amplitude of tamping pickaxe is 42Hz, DEM analysis method is used to carry out analytical calculation to analytical model, the blast bed compactness extracted is 0.6428, it and blast bed compactness optimal value are 0.643 more identical, therefore meet the demands, optimizing process terminates, and exports optimum results, and the optimum of the amplitude of tamping pickaxe is the vibration frequency of 8.9mm and tamping pickaxe to be 42Hz be the present embodiment makes parameter firm by ramming.
By reference to the accompanying drawings the specific embodiment of the present invention is explained in detail above, but the present invention is not limited to above-mentioned embodiment, in the ken that those of ordinary skill in the art possess, various change can also be made under the prerequisite not departing from present inventive concept.

Claims (3)

1. a method for optimally designing parameters made firm by ramming by the railway based on response surface model, it is characterized in that: the concrete steps of described method are as follows:
Step1, actual state according to railroad track, use the analytical model that DEM analysis software creation railway is made firm by ramming;
Step2, determine to embody railway tamping result make index and optimization aim thereof firm by ramming, and determine to have a significant effect to tamping result make parameter and design space thereof firm by ramming;
Step3, the design space determined according to step Step2, service test method for designing, chooses the test sample point that railway is made firm by ramming;
Step4, the test sample point chosen according to step Step3, use DEM analysis method to carry out analytical calculation to the analytical model that step Step1 creates, and that extracts embodiment railway tamping result makes index response firm by ramming;
Step5, the response obtained according to step Step4, use regression analysis, sets up the polynomial response surface model that reflection is made index firm by ramming and made relation between parameter firm by ramming;
Step6, the polynomial response surface model created according to step Step5 and the optimization aim determined of step Step2, use genetic algorithm, find make firm by ramming index optimum time make firm by ramming index optimization value and corresponding thereto make parameter optimization value firm by ramming;
Step7, obtain according to step Step6 make parameter optimization value firm by ramming, analytical calculation is carried out to the analytical model that step Step1 creates, index response is made in extraction firm by ramming, if index response and step Step6 obtain that to make index optimization value firm by ramming more identical for making firm by ramming of extracting, then meets the demands, optimizing process terminates, export optimum results, otherwise, get back to step Step5 and rebuild polynomial response surface model, proceed to optimize, until meet the demands.
2. method for optimally designing parameters made firm by ramming by the railway based on response surface model according to claim 1, it is characterized in that: the actual state of described railroad track, comprise the specification of rail and sleeper, sleeper pitch, the material of railway ballast particle, size and grating, the blast bed compactness before tamping operation.
3. method for optimally designing parameters made firm by ramming by the railway based on response surface model according to claim 1, it is characterized in that: described index of making firm by ramming makes the blast bed compactness below the sleeper of region firm by ramming, described optimization aim is that blast bed compactness is the bigger the better, described parameter of making firm by ramming is the amplitude of tamping pickaxe and the vibration frequency of tamping pickaxe, described design space is that the amplitude of tamping pickaxe changes within the scope of 1 ~ 13mm, and the vibration frequency of tamping pickaxe changes within the scope of 5 ~ 65Hz.
CN201510369793.9A 2015-06-30 2015-06-30 A kind of railway based on response surface model makes method for optimally designing parameters firm by ramming Active CN104951613B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510369793.9A CN104951613B (en) 2015-06-30 2015-06-30 A kind of railway based on response surface model makes method for optimally designing parameters firm by ramming

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510369793.9A CN104951613B (en) 2015-06-30 2015-06-30 A kind of railway based on response surface model makes method for optimally designing parameters firm by ramming

Publications (2)

Publication Number Publication Date
CN104951613A true CN104951613A (en) 2015-09-30
CN104951613B CN104951613B (en) 2018-05-25

Family

ID=54166270

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510369793.9A Active CN104951613B (en) 2015-06-30 2015-06-30 A kind of railway based on response surface model makes method for optimally designing parameters firm by ramming

Country Status (1)

Country Link
CN (1) CN104951613B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108629425A (en) * 2018-04-19 2018-10-09 中国铁道科学研究院集团有限公司 Ballast track makes repair analysis method and system firm by ramming
CN111523243A (en) * 2020-04-29 2020-08-11 中国国家铁路集团有限公司 Intelligent maintenance analysis system for ballast track bed
CN113642075A (en) * 2021-08-12 2021-11-12 北京交通大学 Method for optimizing tamping depth of ballast track bed-large machine
CN114676527A (en) * 2022-04-02 2022-06-28 中南大学 Method for acquiring steel rail contour parameters based on discrete element method

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050080520A1 (en) * 2003-09-22 2005-04-14 Robert Kline Waste recovery and material handling process to replace the traditional trash transfer station and landfil by extracting reusable material and energy from joined refuse streams to include; office waste, dry waste, wet garbage and the special hazardous material handling of biological, chemical, and nuclear waste
RU2263173C2 (en) * 2002-10-28 2005-10-27 Закрытое акционерное общество "Дальневосточная технология" (ЗАО "ДВ Технология") Blade of tie-tamping machine
CN103850155A (en) * 2012-12-06 2014-06-11 常州市瑞泰工程机械有限公司 Dual-sleeper tamping device of meter-gage railway

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2263173C2 (en) * 2002-10-28 2005-10-27 Закрытое акционерное общество "Дальневосточная технология" (ЗАО "ДВ Технология") Blade of tie-tamping machine
US20050080520A1 (en) * 2003-09-22 2005-04-14 Robert Kline Waste recovery and material handling process to replace the traditional trash transfer station and landfil by extracting reusable material and energy from joined refuse streams to include; office waste, dry waste, wet garbage and the special hazardous material handling of biological, chemical, and nuclear waste
CN103850155A (en) * 2012-12-06 2014-06-11 常州市瑞泰工程机械有限公司 Dual-sleeper tamping device of meter-gage railway

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
冯启飞: "基于离散元理论的旋回破碎机破碎性能分析及腔型优化", 《中国优秀硕士学位论文全文数据库 工程科技I辑》 *
耿兴利: "铁路道床捣固振动特性数值仿真研究", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108629425A (en) * 2018-04-19 2018-10-09 中国铁道科学研究院集团有限公司 Ballast track makes repair analysis method and system firm by ramming
CN108629425B (en) * 2018-04-19 2022-03-11 中国铁道科学研究院集团有限公司 Tamping maintenance analysis method and system for ballast track
CN111523243A (en) * 2020-04-29 2020-08-11 中国国家铁路集团有限公司 Intelligent maintenance analysis system for ballast track bed
CN111523243B (en) * 2020-04-29 2023-08-25 中国国家铁路集团有限公司 Intelligent maintenance analysis system for ballast bed
CN113642075A (en) * 2021-08-12 2021-11-12 北京交通大学 Method for optimizing tamping depth of ballast track bed-large machine
CN113642075B (en) * 2021-08-12 2023-12-22 北京交通大学 Optimization method for ballasted ballast bed-large machine tamping depth
CN114676527A (en) * 2022-04-02 2022-06-28 中南大学 Method for acquiring steel rail contour parameters based on discrete element method
CN114676527B (en) * 2022-04-02 2024-10-15 中南大学 Method for obtaining steel rail profile parameters based on discrete element method

Also Published As

Publication number Publication date
CN104951613B (en) 2018-05-25

Similar Documents

Publication Publication Date Title
CN104951613A (en) Railway tamping parameter optimized design method based on response surface model
CN100549660C (en) Three-dimensional cracks expansion analogy method based on embedded type finite element model
CN108959767B (en) Method for simulating damage numerical values of condensate oil in different well types of narrow-river-channel gas reservoir
CN111456709B (en) Horizontal well multistage fracturing segmentation clustering method based on logging curve
RU2010122059A (en) SIMULATION OF THE BREAK OF THE COLLECTOR
CN103577886A (en) Staged fracturing yield prediction method of low-permeability gas reservoir horizontal well
EA201300951A1 (en) METHODS AND SYSTEMS FOR MODELING, DESIGNING AND CONDUCTING DRILLING WORKS WHICH TAKE INTO ACCOUNT VIBRATIONS
WO2013028752A3 (en) Method for hydrocarbon resource recovery by repairing a failed hydrocarbon recovery arrangement
CN107229783A (en) A kind of potassium steel shot blast machine blade stress peening process determination method for parameter
CN104110241A (en) Method for combination exploitation of multiple longitudinal small fault blocks by multiple-target directional well
CN111927417A (en) Shale gas staged fracturing horizontal well group reserve utilization condition evaluation method
CN109101773A (en) Fine and close grease horizontal well solid seam net cluster network pressure splits optimization method
CN107885893B (en) Construction method for describing heterogeneity of carbon dioxide flooding reservoir
CN115705454A (en) Crack propagation simulation fracturing design optimization method based on phase field method
CN106321039B (en) Method and apparatus for obtaining shaft bottom steam parameter in steam injection recovery
CN104847339B (en) Method for evaluating shale gas reservoir by using compaction index
CN207392184U (en) A kind of good ramming machine for building of stability
CN105488271A (en) Automatic matching method for oil gas module section steel
CN113496301B (en) Oil and gas field asset evaluation method and device
CN104632122A (en) Block profile control well selection method used in low-permeability fractured reservoir
CN115130268A (en) Oil reservoir injection-production scheme design method and system, storage medium and electronic equipment
CN112182992A (en) Tight sandstone gas reservoir horizontal well staged fracturing fracture position optimization method
Galiyeva et al. Kashagan Experimental Program
Soage Quintáns A Numerical Modeling Framework for the Optimization and Economic Analysis of Unconventional Gas Production
Lee et al. Overview of CO2-EOR operation plan in Meruap field

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant