Prediction of coalbed methane content based on uncertainty clustering method
نویسندگان
چکیده
منابع مشابه
Research of Coalbed Methane Development Well-Type Optimization Method Based on Unit Technical Cost
Coalbed Methane (CBM) is a high-quality unconventional energy resource. The successful development and utilization of a CBM resource needs to consider technical feasibility and economic viability. These factors are also necessary for the improvement of production safety in coal mines, reducing carbon emission, and optimizing energy structure. Because of its unique resource characteristics, surf...
متن کاملCoalbed Methane Canister Desorption Techniques
The British Columbia Geological Survey Branch and the Geological Survey of Canada have initiated ajoint project to assess the coalbed-methane potential of coal deposits in British Columbia. This project entails participation with private industry to obtain fresh coal samples for desorption from exploration projects throughout the province. Samples are collected from the drill site and undergo a...
متن کاملFuzzy Clustering Method for Content-based Indexing
E cient and accurate information retrieval is one of the main issues in multimedia databases. In content-based multimedia retrieval databases, contents or features of the database objects are used for retrieval. To retrieve similar database objects, we often perform a nearest-neighbor search. A nearest-neighbor search is used to retrieve similar database objects with features nearest to the que...
متن کاملProduction Forecasting of Coalbed Methane Wells Based on Type-2 Fuzzy Logic System
Coal bed methane (CBM) reservoir production is controlled by a large set of parameters: geology, tectonics, reservoir, completion and operation. Its simulation process is complicated, relative information is difficult to be obtained, so it is necessary to analyze accurately coal bed gas potential production capacity by adopting other mathematics methods in case of incomplete information. Regard...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energy Exploration & Exploitation
سال: 2016
ISSN: 0144-5987,2048-4054
DOI: 10.1177/0144598716630163