Intelligent Evaluation of Coalbed Methane Target Selection under Complex Geological Conditions
close menu
Bookswagon
search
My Account
Home > Earth Sciences > Geology, geomorphology and the lithosphere > Intelligent Evaluation of Coalbed Methane Target Selection Under Complex Geological Conditions: (Springer Geology)
Intelligent Evaluation of Coalbed Methane Target Selection Under Complex Geological Conditions: (Springer Geology)

Intelligent Evaluation of Coalbed Methane Target Selection Under Complex Geological Conditions: (Springer Geology)


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

This book starts from the perspective of "geological engineering integration" in coalbed methane development and conducts a detailed analysis and evaluation of the geological conditions (including regional geology and resource geology) and mining conditions (including reservoir recoverability and modifiability) that affect coalbed methane development. It establishes the optimal evaluation parameters for coalbed methane target areas and constructs a parameter system for optimal evaluation of coalbed methane target areas. On this basis, a fuzzy pattern recognition model for optimizing coalbed methane target areas was established, and the application of fuzzy recognition for optimizing coalbed methane target areas was carried out. The current research on coalbed methane selection evaluation is based on Analytic Hierarchy Process (AHP) and fuzzy mathematics theory. Although the above methods have achieved good application results, it is difficult to avoid the influence of subjective factors when using methods such as expert scoring or the Analytic Hierarchy Process (AHP) pairwise comparison to determine the weights of different evaluation parameters. Due to differences in subjective consciousness and knowledge reserves, different researchers have different understandings of the importance of the same evaluation index, resulting in differences in the assigned weights. Different evaluation results may be obtained in the same coalbed methane block. Therefore, scientifically reasonable empowerment is a huge challenge for both researchers and ordinary users. The fuzzy pattern recognition model for optimizing coalbed methane target areas proposed in this study does not involve parameter weighting, which corrects the uncertainty of evaluation results caused by parameter weighting in the Analytic Hierarchy Process and Multi-level Fuzzy Comprehensive Evaluation methods; At the same time, there is no need to construct pairwise comparison judgment matrices, making the calculation process simpler and improving the accuracy of the evaluation results.



About the Author :

Gaofeng Liu is a professor at the School of Resources and Environment, Henan Polytechnic University, Jiaozuo, China. He has taught various subjects such as Gas geology, Mine geology, engaged in research on coalbed methane exploration and development, published more than 60 papers in the coal microstructure characterisation, coalbed methane adsorption, desorption, diffusion, and seepage research, presided over 2 projects funded by the National Natural Science Foundation of China, and received 4 provincial and ministerial-level awards.

Zhen Zhang is a lecturer at the School of Safety and Emergency Management Engineering, Taiyuan University of Science and Technology, Taiyuan, China. He is engaged in research on coalbed methane exploration and development, has published more than 20 papers on coal microstructure characterisation, coalbed methane adsorption, desorption, diffusion, and seepage research, and has received a second prize for green mining technology progress.

Huan Liu is currently a PhD candidate at the School of Resources and Environment, Henan Polytechnic University. He is engaged in research on coalbed methane geology and development, and has achieved original results in testing and characterising coal microstructure and in coalbed methane migration research. He has published more than 10 papers and received a second prize for green mining technology progress.

Dr Ping Chang is currently a Senior Lecturer in Mining Engineering at the Western Australian School of Mines, Curtin University, Australia. He has published over 80 peer-reviewed journal articles, with research focusing on mining-induced particulate control, coal dust characterisation, and the application of computational fluid dynamics to mining safety. He serves on the editorial board of the International Journal of Coal Science and Technology. His expertise also encompasses mine ventilation and the integration of intelligent systems in coalbed methane (CBM) development. Dr Chang is an active member of the Australasian Institute of Mining and Metallurgy (AusIMM), the Mine Ventilation Society Australia (MVSA), and the Society of Mining Professors (SOMP).

Dr George Barakos is currently a Senior Lecturer in mining engineering at the Western Australian School of Mines of Curtin University. Prior to this role, he had been a research associate at Technical University Bergakademie Freiberg in Germany. He has published numerous high-quality journal applications in the mineral resources discipline. Dr Barakos also has significant experience not only in the academia but also in the mining industry, having worked as a consulting engineer in mining operations worldwide for several years


Best Sellers


Product Details
  • ISBN-13: 9789819585083
  • Publisher: Springer Verlag, Singapore
  • Publisher Imprint: Springer Verlag, Singapore
  • Height: 235 mm
  • No of Pages: 250
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: Springer Geology
  • ISBN-10: 9819585082
  • Publisher Date: 30 Apr 2026
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Width: 155 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Intelligent Evaluation of Coalbed Methane Target Selection Under Complex Geological Conditions: (Springer Geology)
Springer Verlag, Singapore -
Intelligent Evaluation of Coalbed Methane Target Selection Under Complex Geological Conditions: (Springer Geology)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Intelligent Evaluation of Coalbed Methane Target Selection Under Complex Geological Conditions: (Springer Geology)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    Your IP: 216.73.217.9 IN