Yang Yu, Guo Chunhua, Chen Wangang, Sun Hansen, Yan Ping, Wu Xiang
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, China.
College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China.
J Nanosci Nanotechnol. 2021 Jan 1;21(1):608-614. doi: 10.1166/jnn.2021.18736.
Since the sampling depth is large in deep coalbed methane wells, during the lifting process of coalbed cores, the core surface pressure drops nonlinearly with time, which is contradictory to the premise of the conventional United States Bureau of Mines (USBM) method and the Smith-Williams method. In this paper, a desorption-diffusion model was established to quantitatively characterize the actual escape process of methane gas from nanoscale pores in coal cores in both the wellbore and desorption tank by considering the nonlinear relationship between the core surface pressure and time. Based on the optimization method, the measured volume of the desorbed gas in the desorption tank was fitted, and then, the amount of lost gas in the wellbore was inferred. The calculation result of the USBM method was smaller than that of the method used in this paper. In the calculation model of lost gas volume proposed in this paper, the lost gas time was corrected, and the non-uniform decreasing characteristics of the core surface pressure were considered. Therefore, the lost gas obtained by this model was more accurate than that obtained by the conventional method.
由于深部煤层气井的取样深度较大,在煤层岩心提升过程中,岩心表面压力随时间呈非线性下降,这与美国矿务局(USBM)传统方法和史密斯 - 威廉姆斯方法的前提相矛盾。本文建立了一个解吸 - 扩散模型,通过考虑岩心表面压力与时间的非线性关系,定量表征井筒和脱气罐中煤层岩心纳米级孔隙中甲烷气体的实际逸出过程。基于优化方法,对脱气罐中解吸气的测量体积进行拟合,进而推断井筒中损失气体的量。USBM方法的计算结果小于本文所用方法的计算结果。在本文提出的损失气体体积计算模型中,对损失气体时间进行了修正,并考虑了岩心表面压力的非均匀下降特性。因此,该模型得到的损失气体比传统方法得到的更准确。