Methane Extraction and Resource Utilization Based on Multisource Data Fusion
نویسندگان
چکیده
Gas clusters can reprove the sewage ability of flame-permeability char joint, but interaction motion between proposed vapor molecules and gasoline-confine charcoal during wind enema advance is still unclear. For this consideration, supported by surface assimilation figure qualifier-enclose char, magnificent orthodox whole Monte Carlo (GCMC) manner was interesting to ponder elution conduct CH4 in wind-confine configuration after farding bag N2/CO2 under distinct stamp. The clockwork N2/C advances charcoal. examination ensues showed following: (1) Compared with N2, gasoline-restrain has more familiar CO2 enema, constituting force CH4-CO2 system everywhere humble than that CH4-N2 system, former fix. (2) In same pattern, obtained grout indicated regular distribution system. heptane active, expansion cooperation more, effect promoting better. (3) After CO2/N2 interjected into fart-hold construction, as compression extension, referring concentrations CO2, coping wax, opposite major zenith everywhere. CH4—N2 CH4—CO2 centric, N2 lowermost. (4) reasonably affliction for raise 2 4 MPa, honest elution. urgency 3 MPa. Based on data, methane extraction resource utilization be improved a certain extent. result shown inquiry condition speculative uphold research studies cicatrix petrol irritation technology.
منابع مشابه
Classification of multisource and hyperspectral data based on decision fusion
Multisource classification methods based on neural networks and statistical modeling are considered. For these methods, the individual data sources are at first treated separately and modeled by statistical methods. Then several decision fusion schemes are applied to combine the information from the individual data sources. These schemes include weighted consensus theory where the weights of th...
متن کاملMultisource Image Fusion Based on Wavelet Transform
This paper clarifies the concepts and relationship between image fusion rules and operators based on wavelet transform. According to wavelet decomposition characteristic, a new strategy of calculating spatial frequency is put forward. Fusion experiments are performed on QuickBird panchromatic (PAN)and multispectral (MS) images based on orthogonal and biorthogonal wavelet, in which a method of c...
متن کاملA New Job Scheduling in Data Grid Environment Based on Data and Computational Resource Availability
Data Grid is an infrastructure that controls huge amount of data files, and provides intensive computational resources across geographically distributed collaboration. The heterogeneity and geographic dispersion of grid resources and applications place some complex problems such as job scheduling. Most existing scheduling algorithms in Grids only focus on one kind of Grid jobs which can be data...
متن کاملIntelligent Fusion of Multisource Data for Sea Ice Classification
In this paper we describe ARKTOS, a system that uses a Dempster-Shafer rule base to integrate data from multiple sources in order to classify sea ice. ARKTOS analyzes SAR imagery to generate a feature set that describes the image. Next it fuses the SAR-extracted features with digital grid climatology data and sea ice concentration data extracted from SSM/I imagery. The fusion is achieved by a s...
متن کاملMultisource data fusion for bandlimited signals: a Bayesian perspective
We consider data fusion as the reconstruction of a single model from multiple data sources. The model is to be inferred from a number of blurred and noisy observations, possibly from different sensors under various conditions. It is all about recovering a compound object, signal+uncertainties, that best relates to the observations and contains all the useful information from the initial data se...
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: Advances in Materials Science and Engineering
سال: 2022
ISSN: ['1687-8434', '1687-8442']
DOI: https://doi.org/10.1155/2022/7419076