Dataset of Coal Bio-gasification and Coalbed Methane Stimulation by Single Well Nutrition Injection in Qinshui Anthracite Coalbed Methane Wells
Description
In-situ coal bio-gasification is a coal microbial mining technology that utilizes the anearobic digestion of organic components in coal by methanogenic bacteria. In experiments, one vertical well and one horizontal well were used as experiment wells and two vertical wells were used as control wells, the pilot test was carried out with single well nutrition injection method. The concentration of Cl- ion and number changes of Methanogen spp. were used to trace nutrition diffusion. CH4 production changes and coalbed biome evolution were used to analyze technical implementation results. Gas production rates in each well were monitored using FLLQ gas roots flow mete. The concentration of CH4 and CO2 were analyzed using Agilent 7890A gas chromatograph. Concentrations of Cl- were identified using an ICS-1100 ion chromatography system. The F420 fluorescence method was used to test for the presence of methanogenic bacteria. At the end of experiment, the bacterial diversity was analyzed by high-pass sequencing of underground water of Z-7H well. The experiment lasted a total of 814 days. Gas production data showed that the gasification of coal lasted 635 and 799 days, and yielded 74817 m3 and 251754 m3 coalbed methane in Z-159 and Z-7H wells, respectively. One nutrition injection in coalbed achieved an average of 717 days of continuous gas production in experimental wells. This experiment was the first one to successfully use the native bacterial fermentation of anthracite to achieve coal bio-gasification and coalbed methane production stimulation in-situ.
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Gas production rates in each well were monitored using FLLQ gas roots flow mete (model: FLLQ, Fuma, Wenzhou, China). The concentration of CH4 and CO2 were analyzed using Agilent 7890A (Agilent, Tokyo, Japan) gas chromatograph. Concentrations of Cl- were identified using an ICS-1100 ion chromatography system (Thermo Scientific Dionex, Bannockburn, United States). The number of methanogens was counted by fluorescence microscope (model: BX41, Olympus, Tokyo, Japan), and the excitation light wavelength was 420 nm (F420 fluorescence). Total genomic DNA was extracted from 1 mL concentrated underground water samples using E.A.N.A. Soil DNA Kit (OMEGA, Georgia, GA, USA). The V4 region of 16S rRNA gene was amplified with polymerase chain reaction (PCR) using primers 515F (5’- GTG CCA GCM GCC GCG GTAA - 3’) and 806R (5’- GGA CTA CHV GGG TWT CTA AT - 3’). 16S rRNA gene libraries were sequenced using an Illumina MiSeq (San Diego, CA, USA) platform and the sequencing data were base-called and demultiplexed using MiSeq Reporter v.1.8.1 (Illumina, SanDiego, CA, USA) with default parameters. The adapter sequences and low quality reads were trimmed away from the raw reads with Trimmomatic v.0.32. The resulting representative sequence set was aligned against the core sequence database of the SILVA 123 release with the Mothur script (www.mothur.org/) and given a taxonomic classification using RDP at the 80% confidence level. Neighbor-joining phylogenetic tree was used to investigate the similarity of species abundance using the Unweighted Pair Group Method with Arithmetic mean (UPGMA) clustering method. Figures were drawn using Origin (OriginPro 2018C).