CN107701179A - Conventional logging data-based compressibility evaluation method for shale gas reservoir - Google Patents

Conventional logging data-based compressibility evaluation method for shale gas reservoir Download PDF

Info

Publication number
CN107701179A
CN107701179A CN201710833982.6A CN201710833982A CN107701179A CN 107701179 A CN107701179 A CN 107701179A CN 201710833982 A CN201710833982 A CN 201710833982A CN 107701179 A CN107701179 A CN 107701179A
Authority
CN
China
Prior art keywords
compressibility
shale gas
gas reservoir
shale
natural gamma
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
CN201710833982.6A
Other languages
Chinese (zh)
Other versions
CN107701179B (en
Inventor
冯爱国
文耀华
廖勇
袁明前
石元会
彭超
饶海涛
魏炜
马丽娟
汪成芳
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.)
Jianghan Logging Branch Of Sinopec Jingwei Co ltd
China Petrochemical Corp
Sinopec Oilfield Service Corp
Sinopec Jianghan Petroleum Engineering Co Ltd
Sinopec Jingwei Co Ltd
Original Assignee
Sinopec Oilfield Service Corp
Sinopec Jianghan Petroleum Engineering Co Ltd
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 Sinopec Oilfield Service Corp, Sinopec Jianghan Petroleum Engineering Co Ltd filed Critical Sinopec Oilfield Service Corp
Priority to CN201710833982.6A priority Critical patent/CN107701179B/en
Publication of CN107701179A publication Critical patent/CN107701179A/en
Application granted granted Critical
Publication of CN107701179B publication Critical patent/CN107701179B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Geology (AREA)
  • Mining & Mineral Resources (AREA)
  • Physics & Mathematics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Fluid Mechanics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Geophysics (AREA)
  • Geophysics And Detection Of Objects (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to a shale stratum compressibility evaluation method based on conventional logging information, which comprises the steps of collecting logging information of a well to be tested, wherein the logging information comprises natural gamma, uranium-removed natural gamma, density and the like; distinguishing intervals of mudstone and shale by natural gamma GR and natural gamma KTH for removing uranium; normalizing the collected parameters; establishing a shale gas reservoir compressibility mathematical model according to the parameters; verifying the reliability of the model and optimizing stratum parameters by combining all the data; and judging whether the evaluation standard of the compressibility of the shale gas reservoir in the work area is established or not, entering the next step after the establishment, and entering the next step after the evaluation standard of the compressibility of the shale gas reservoir is not established according to the existing work area data. And quantitatively characterizing the compressibility of the reservoir according to the calculated BI value: and outputting an evaluation result. The fracturing method has been applied to Fuling shale gas fields and Yichang areas, effectively guides the fracturing construction design of horizontal wells, improves the fracturing efficiency and achieves the purposes of increasing production and creating efficiency.

Description

A kind of compressibility evaluation method of the shale gas reservoir based on Conventional Logs
Technical field
Application field of the present invention is evaluated for unconventionaloil pool reservoir compressibility, is specially related to a kind of based on conventional logging money The shale formation compressibility evaluation method of material.
Background technology
Shale gas belongs to low hole, hypotonic-Oil in Super-low Permeability Reservoirs, and more than 90% shale gas well is needed by fracturing reform It can realize that business is exploited.Therefore, for the reservoir fracturing improvement effect obtained, blindness pressure break is avoided, it is necessary to first to shale gas The compressibility of reservoir carries out scientific evaluation.
Compressibility evaluation method mainly has experimental evaluation method and factor evaluation method.Experimental evaluation method is entered using formation core The method of row simulated experiment, it is not high for the stronger shale formation degree of accuracy of anisotropism, and operate relative complex, workload Greatly, it is unfavorable for field application.Currently used Factor of Brittleness method belongs to factor evaluation method with compressibility Y-factor method Y.It is but existing All be present the defects of certain in Y-factor method Y evaluation model, mainly influence factor is considered not comprehensive enough, it is difficult to accurate evaluation shale Reservoir compressibility.Therefore, need badly it is a kind of it is comprehensive, scientifical, implement that quick, easy, cost is low, and shale gas reservoir compressibility is surveyed Mud logging evaluation method and evaluation criterion, so as to select well, select layer to provide guidance.
The shale gas reservoir compressibility that existing production practices have effectively been verified surveys mud logging evaluation method and evaluation criterion.With Just to select well, select layer to provide guidance.
A kind of shale gas reservoir compressibility evaluation method based on well-log information is provided, including：Gather interval of interest Conventional Logs, and divide shale reservoir according to these parameters；Establish shale gas reservoir compressibility mathematical modeling；With reference to each Aspect data, verify the reliability of model, preferably formation parameter；Quantitatively characterizing shale gas reservoir compressibility is simultaneously predicted.
The content of the invention
The purpose of the present invention is to be directed to the above-mentioned state of the art, it is desirable to provide a kind of cost is low, method is easy, adaptable Shale gas compressibility surveys mud logging evaluation method, meet domestic shale gas field survey exploitation needs based on Conventional Logs Shale formation compressibility evaluation method.
The implementation of the object of the invention is a kind of shale formation compressibility evaluation method based on Conventional Logs, Comprise the following steps that：
1) collect well to be evaluated and survey log data
Log data to be evaluated of surveying surveys log data for the conventional of shale gas reservoir to be evaluated, and conventional log data of surveying includes Well logging and the shale gas RESERVOIR INTERPRETATION well section of well logging, lithology, total hydrocarbon in gas logging content, methane content, reservoir natural gamma value, go Uranium natural gamma value, density value, crustal stress coefficient of variation, shear wave slowness and compressional wave time difference；
2) mud stone, shale interval are divided, determines characteristic value
With natural gamma GR and uranium natural gamma KTH is removed to distinguish mud stone, shale interval；
Mud stone：Natural gamma GR and go uranium natural gamma KTH that relatively high value is presented, two tracing patterns are consistent, approach It is parallel, and both amplitude differences are most of between 10-30；
Shale：Natural gamma GR numerical value is integrated with raising, and goes uranium natural gamma KTH numerical value to be integrated with reducing, both forms Differ greatly, and both amplitude differences are more than 40, individual other places difference is hundreds of；Difference is bigger, and shale reservoir quality is better；
3) judge whether to have established work area shale gas reservoir compressibility evaluation criterion
To having established work area shale gas reservoir compressibility evaluation criterion, and practicality is stronger, into step 4)；
It is inapplicable, it is necessary to according to existing work area to not setting up work area shale gas reservoir compressibility evaluation criterion or existing standard Data establish shale gas reservoir compressibility evaluation criterion, enter back into step 4)；
4) Conventional Logs according to work area reality drilling well establish shale gas reservoir compressibility evaluation criterion：
1. the parameters collected first to step 1) are normalized；
2. establish shale gas reservoir compressibility mathematical modeling according to above-mentioned parameter；BI=[(A+B)/(C+1)+F] × E
In formula：A=log [((GR-KTH)/(GRmax-KTH))+1]
B=1- ((DEN-DENmin)/(DENmax-DENmin))
C=eCYXS
D=log (1+ | B |)
E=1-KTH/GRmax
F=2-DTS/DTC；
3. with reference to each side data, the reliability of model, preferably formation parameter are verified；
5) quantitatively characterizing shale gas reservoir compressibility and the compressibility of predicting reservoir
The compressibility of the BI numerical value quantitatively characterizing reservoirs calculated according to step 3)：
0 ＜ BI ＜ 0.4, poor compressibility；0.4 ＜ BI ＜ 0.6, compressibility is medium；0.6 ＜ BI ＜ 1.0, compressibility is good；
6) evaluation result is exported.
The present invention is applied in Fuling shale gas field, Yichang Prefecture, and quantitative assessment has been carried out to stratum compressibility, The effective pressing crack construction design for directing horizontal well, improves pressure break efficiency, has reached the purpose of volume increase.
The present invention has good application value, improves domestic shale gas reservoir and surveys well logging evaluation and Engineering Service It is horizontal.
Brief description of the drawings
Fig. 1 is workflow block diagram of the present invention；
Fig. 2 is that Fuling shale gas field Jiao's masonry dam block shale gas reservoir compressibility evaluates pattern.
Embodiment
The present invention is described in detail with reference to the accompanying drawings.
Reference picture 1, of the invention comprises the following steps that：
1) collect and treat that log data is surveyed in well logging
It is that the conventional of shale gas reservoir to be logged well surveys log data to treat that log data is surveyed in well logging, and conventional log data of surveying includes Well logging and the shale gas RESERVOIR INTERPRETATION well section of well logging, lithology, total hydrocarbon in gas logging content, methane content, reservoir natural gamma value, go Uranium natural gamma value, density value, crustal stress coefficient of variation, shear wave slowness and compressional wave time difference；
2) mud stone, shale interval are divided, determines characteristic value
With natural gamma GR and uranium natural gamma KTH is removed to distinguish mud stone, shale interval；
Mud stone：Natural gamma GR and go uranium natural gamma KTH that relatively high value is presented, two tracing patterns are consistent, approach It is parallel, and both amplitude differences are most of between 10-30；
Shale：Natural gamma GR numerical value is integrated with raising, and goes uranium natural gamma KTH numerical value to be integrated with reducing, both forms Differ greatly, and both amplitude differences are more than 40, individual other places difference is hundreds of；Difference is bigger, and shale reservoir quality is better；
3) judge whether to have established work area shale gas reservoir compressibility evaluation criterion
To having established work area shale gas reservoir compressibility evaluation criterion, and practicality is stronger, into step 4)；
It is inapplicable, it is necessary to according to existing work area to not setting up work area shale gas reservoir compressibility evaluation criterion or existing standard Data establish shale gas reservoir compressibility evaluation criterion, enter back into step 4)；
4) Conventional Logs according to work area reality drilling well establish shale gas reservoir compressibility evaluation criterion：
1. the parameters collected first to step 1) are normalized；
2. establish shale gas reservoir compressibility mathematical modeling according to above-mentioned parameter；BI=[(A+B)/(C+1)+F] × E
In formula：A=log [((GR-KTH)/(GRmax-KTH))+1]
B=1- ((DEN-DENmin)/(DENmax-DENmin))
C=eCYXS
D=log (1+ | B |)
E=1-KTH/GRmax
F=2-DTS/DTC；
3. with reference to each side data, the reliability of model, preferably formation parameter are verified；
5) quantitatively characterizing shale gas reservoir compressibility and the compressibility of predicting reservoir
The compressibility of the BI numerical value quantitatively characterizing reservoirs calculated according to step 3)：
0 ＜ BI ＜ 0.4, poor compressibility；0.4 ＜ BI ＜ 0.6, compressibility is medium；0.6 ＜ BI ＜ 1.0, compressibility is good；
6) evaluation result is exported.
The present invention is applied in Fuling shale gas field, Yichang Prefecture, is worked well.Fuling shale gas field Jiao's masonry dam Block well shale gas reservoir compressibility, which is evaluated, sees Fig. 2, and uranium natural gamma, nature are represented respectively with 1,2,3,4,5,6 in figure Gamma, density, compressional wave time difference, shear wave slowness, reservoir compressibility index.
The present invention has good application value, improves domestic shale gas reservoir and surveys well logging evaluation and Engineering Service It is horizontal.

Claims (1)

  1. A kind of 1. shale formation compressibility evaluation method based on Conventional Logs, it is characterised in that：Comprise the following steps that：
    1) collect well to be evaluated and survey log data
    Log data to be evaluated of surveying surveys log data for the conventional of shale gas reservoir to be evaluated, and conventional log data of surveying includes well logging Shale gas RESERVOIR INTERPRETATION well section, lithology, total hydrocarbon in gas logging content, methane content, the natural gamma value of reservoir with well logging, go uranium from Right gamma value, density value, crustal stress coefficient of variation, shear wave slowness and compressional wave time difference；
    2) mud stone, shale interval are divided, determines characteristic value
    With natural gamma GR and uranium natural gamma KTH is removed to distinguish mud stone, shale interval；
    Mud stone：Natural gamma GR and go uranium natural gamma KTH that relatively high value is presented, two tracing patterns are consistent, close to parallel, And both amplitude differences are most of between 10-30；
    Shale：Natural gamma GR numerical value is integrated with raising, and goes uranium natural gamma KTH numerical value to be integrated with reducing, both forms difference Greatly, and both amplitude differences are more than 40, and individual other places difference is hundreds of；Difference is bigger, and shale reservoir quality is better；
    3) judge whether to have established work area shale gas reservoir compressibility evaluation criterion
    To having established work area shale gas reservoir compressibility evaluation criterion, and practicality is stronger, into step 4)；
    It is inapplicable, it is necessary to according to existing work area data to not setting up work area shale gas reservoir compressibility evaluation criterion or existing standard Shale gas reservoir compressibility evaluation criterion is established, enters back into step 4)；
    4) Conventional Logs according to work area reality drilling well establish shale gas reservoir compressibility evaluation criterion：
    1. the parameters collected first to step 1) are normalized；
    2. establish shale gas reservoir compressibility mathematical modeling according to above-mentioned parameter；In BI=[(A+B)/(C+1)+F] × E formulas：A= log[((GR-KTH)/(GRmax-KTH))+1]
    B=1- ((DEN-DENmin)/(DENmax-DENmin))
    C=eCYXS
    D=log (1+ | B |)
    E=1-KTH/GRmax
    F=2-DTS/DTC；
    3. with reference to each side data, the reliability of model, preferably formation parameter are verified；
    5) quantitatively characterizing shale gas reservoir compressibility and the compressibility of predicting reservoir
    The compressibility of the BI numerical value quantitatively characterizing reservoirs calculated according to step 3)：
    0 ＜ BI ＜ 0.4, poor compressibility；0.4 ＜ BI ＜ 0.6, compressibility is medium；0.6 ＜ BI ＜ 1.0, compressibility is good；
    6) evaluation result is exported.
CN201710833982.6A 2017-09-15 2017-09-15 Conventional logging data-based compressibility evaluation method for shale gas reservoir Active CN107701179B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710833982.6A CN107701179B (en) 2017-09-15 2017-09-15 Conventional logging data-based compressibility evaluation method for shale gas reservoir

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710833982.6A CN107701179B (en) 2017-09-15 2017-09-15 Conventional logging data-based compressibility evaluation method for shale gas reservoir

Publications (2)

Publication Number Publication Date
CN107701179A true CN107701179A (en) 2018-02-16
CN107701179B CN107701179B (en) 2020-07-31

Family

ID=61172735

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710833982.6A Active CN107701179B (en) 2017-09-15 2017-09-15 Conventional logging data-based compressibility evaluation method for shale gas reservoir

Country Status (1)

Country Link
CN (1) CN107701179B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109025982A (en) * 2018-07-16 2018-12-18 中国石油化工股份有限公司江汉油田分公司勘探开发研究院 Classification evaluation method, device and the terminal device of shale gas exploitation interval
CN111413741A (en) * 2019-01-04 2020-07-14 中国石油天然气股份有限公司 Sandstone-type uranium ore resource amount calculation method and device
CN112001095A (en) * 2020-09-09 2020-11-27 中石化石油工程技术服务有限公司 Method for establishing well cementation quality evaluation index and well cementation quality evaluation method
CN112282717A (en) * 2020-10-28 2021-01-29 中国石油天然气集团有限公司 Fracturing fracture detection and evaluation method suitable for shale gas reservoir hydraulic fracturing
CN112576238A (en) * 2020-12-02 2021-03-30 中国石油大学(华东) System, method and application for determining position and content of residual oil in low-permeability reservoir
CN114427436A (en) * 2020-09-30 2022-05-03 中国石油化工股份有限公司 Method and device for evaluating organic carbon content in reservoir well, electronic equipment and medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130180714A1 (en) * 2010-07-14 2013-07-18 Donald Nevin Method for removing contaminants from wastewater in hydraulic fracturing process
CN104406849A (en) * 2014-11-21 2015-03-11 中国石油天然气股份有限公司 Prediction method and device for brittleness of reservoir rock
CN104500049A (en) * 2014-10-20 2015-04-08 成都创源油气技术开发有限公司 Shale gas physical geography quick evaluation method
CN104775810A (en) * 2015-03-03 2015-07-15 西南石油大学 Method for evaluating compressibility of shale gas reservoir
CN105626025A (en) * 2014-11-06 2016-06-01 中国石油化工股份有限公司 Fracturing evaluation method for shale reservoir fracturing
CN105822292A (en) * 2016-03-17 2016-08-03 成都创源油气技术开发有限公司 Evaluation method for computing compressibility of shale gas reservoir by using well-logging data
CN106869911A (en) * 2017-02-24 2017-06-20 中石化重庆涪陵页岩气勘探开发有限公司 A kind of evaluation method for describing shale reservoir compressibility

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130180714A1 (en) * 2010-07-14 2013-07-18 Donald Nevin Method for removing contaminants from wastewater in hydraulic fracturing process
CN104500049A (en) * 2014-10-20 2015-04-08 成都创源油气技术开发有限公司 Shale gas physical geography quick evaluation method
CN105626025A (en) * 2014-11-06 2016-06-01 中国石油化工股份有限公司 Fracturing evaluation method for shale reservoir fracturing
CN104406849A (en) * 2014-11-21 2015-03-11 中国石油天然气股份有限公司 Prediction method and device for brittleness of reservoir rock
CN104775810A (en) * 2015-03-03 2015-07-15 西南石油大学 Method for evaluating compressibility of shale gas reservoir
CN105822292A (en) * 2016-03-17 2016-08-03 成都创源油气技术开发有限公司 Evaluation method for computing compressibility of shale gas reservoir by using well-logging data
CN106869911A (en) * 2017-02-24 2017-06-20 中石化重庆涪陵页岩气勘探开发有限公司 A kind of evaluation method for describing shale reservoir compressibility

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨宏伟等: "基于测井数据的页岩可压性定量评价", 《断块油气田》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109025982A (en) * 2018-07-16 2018-12-18 中国石油化工股份有限公司江汉油田分公司勘探开发研究院 Classification evaluation method, device and the terminal device of shale gas exploitation interval
CN111413741A (en) * 2019-01-04 2020-07-14 中国石油天然气股份有限公司 Sandstone-type uranium ore resource amount calculation method and device
CN112001095A (en) * 2020-09-09 2020-11-27 中石化石油工程技术服务有限公司 Method for establishing well cementation quality evaluation index and well cementation quality evaluation method
CN112001095B (en) * 2020-09-09 2023-08-04 中国石油化工集团有限公司 Method for establishing well cementation quality evaluation index and well cementation quality evaluation method
CN114427436A (en) * 2020-09-30 2022-05-03 中国石油化工股份有限公司 Method and device for evaluating organic carbon content in reservoir well, electronic equipment and medium
CN112282717A (en) * 2020-10-28 2021-01-29 中国石油天然气集团有限公司 Fracturing fracture detection and evaluation method suitable for shale gas reservoir hydraulic fracturing
CN112282717B (en) * 2020-10-28 2023-02-28 中国石油天然气集团有限公司 Fracturing fracture detection and evaluation method suitable for shale gas reservoir hydraulic fracturing
CN112576238A (en) * 2020-12-02 2021-03-30 中国石油大学(华东) System, method and application for determining position and content of residual oil in low-permeability reservoir
CN112576238B (en) * 2020-12-02 2022-10-28 中国石油大学(华东) System, method and application for determining position and content of residual oil in low-permeability reservoir

Also Published As

Publication number Publication date
CN107701179B (en) 2020-07-31

Similar Documents

Publication Publication Date Title
Ciezobka et al. Hydraulic fracturing test site (HFTS)-project overview and summary of results
CN107701179A (en) Conventional logging data-based compressibility evaluation method for shale gas reservoir
US10563493B2 (en) System and method for performing downhole stimulation operations
CN104695916B (en) The system and method for executing underground stimulation work
EP2766748B1 (en) System and method for performing stimulation operations
CA2654730C (en) Method and system for designing and optimizing drilling and completion operations in hydrocarbon reservoirs
US20180230782A1 (en) Method of performing integrated fracture and reservoir operations for multiple wellbores at a wellsite
US10526890B2 (en) Workflows to address localized stress regime heterogeneity to enable hydraulic fracturing
CN106869911B (en) Evaluation method for describing compressibility of shale reservoir
Ciezobka Overview of hydraulic fracturing test site 2 in the Permian Delaware Basin (HFTS-2)
CN105697002A (en) Method for recognizing coal measure strata lithology
Suarez et al. Complementing Production Logging with Spectral Noise Analysis to Improve Reservoir Characterisation and Surveillance
CN105842751A (en) Shale reservoir crack evaluation method
CN116122801A (en) Shale oil horizontal well volume fracturing compressibility comprehensive evaluation method
CN112068197B (en) Fracture cracking scale description method based on seismic wave dynamic parameters
CN107766690A (en) Shale gas reservoir geologic assessment modeling for single well method
Dueñas et al. Reservoir characterization of the Montney Shale–integrating seismic inversion with microseismic
Xu et al. Normalizing gamma-ray logs acquired from a mixture of vertical and horizontal wells in the haynesville shale
CN111335870A (en) Method and device for determining oil gas potential
Kowalchick Tracking Impending Frac Hits Using Sealed Wellbore Pressure Monitoring in the Eagle Ford and Austin Chalk Formations
Ibrahim Type Curve Analysis for Evaluating Reservoir Performance in South-Eastern Bangladesh: A Case Study
Fathia Application of Type Curve Analysis in Assessing Well Performance in the South-Eastern Bangladesh Basin
Tamulonis A methodology for integrating unconventional geologic and engineering data into a geocellular model
Guerra et al. Hydraulic Fracture Design and Geomechanical Model Validation Using Sonic Scanner and Microseismic Measurements in BACO-1 Well
Tătaru et al. Identifying undrained layers from mature gas reservoirs using reservoir simulation and high resolution geophysical investigation

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
TR01 Transfer of patent right

Effective date of registration: 20220511

Address after: 100728 No. 22 North Main Street, Chaoyang District, Beijing, Chaoyangmen

Patentee after: SINOPEC Group

Patentee after: SINOPEC OILFIELD SERVICE Corp.

Patentee after: SINOPEC OILFIELD SERVICE JIANGHAN Corp.

Patentee after: Sinopec Jingwei Co.,Ltd.

Patentee after: Jianghan logging branch of Sinopec Jingwei Co.,Ltd.

Address before: 100028 Chaoyang District, Beijing Hui Xin Street 6, Twelfth level.

Patentee before: SINOPEC OILFIELD SERVICE Corp.

Patentee before: Sinopec Jianghan Petroleum Engineering Co., Ltd

TR01 Transfer of patent right