Liu Shun, Du Hengyi, Tian Jiang, Zhang Yalong, Liu Jianbin, Tian Xumin, Wang Zongzhen, Huang Kai
Xi'an Shiyou University, Xi'an 710065, China.
Shaanxi Key Laboratory of Advanced Stimulation Technology for Oil & Gas Reservoirs, Xi'an 710065, China.
ACS Omega. 2023 Jul 27;8(31):28821-28833. doi: 10.1021/acsomega.3c03773. eCollection 2023 Aug 8.
The high adsorption capacity of coal reservoirs poses a challenge to the evaluation of productivity and output profiles for each segment of fractured horizontal wells using tracers. In this study, the microstructure of a coal sample from block B and its absorption character to a micromaterial tracer are analyzed first. Then, an anti-adsorption micromaterial tracer system which is suitable for block B is proposed by evaluating different types of complexing agents and extractant agents. The system comprises micromaterial tracers (200 ppb) + ethylenediaminetetraacetic acid tetrasodium (EDTA-4Na in short) (0.01%) + di(2-ethylhexyl) phosphate (HDEHP in short) (0.001%), and its anti-adsorption character of the system is analyzed. The concentration dynamics of micromaterial tracers are analyzed by the flowback fluid testing of one fracturing well and two adjacent wells. Then, a judging method for productivity and connectivity of each segment of horizontal wells is established. Moreover, the anti-adsorption micromaterial tracer system judgment method is employed to analyze the staged fracturing performance of horizontal well B1 in the coal reservoir of block B. Eight types of micromaterial tracers are utilized to label the fluid in each fracturing segment for assessing the connectivity between well B1 and adjacent wells B1-1 and B1-2. The results show that the anti-adsorption micromaterial tracer system exhibits minimal adsorption loss and can be well applied in segment monitoring in the horizontal fracturing well of coal reservoirs. The main productive segments of well B1 are #1, #4, and #8. Well B1 exhibits good connectivity with adjacent well B1-1 in segments #1, #4, #6, and #8. Conversely, all segments of well B1 exhibit poor connectivity with adjacent well B1-2. The results can provide a dependable reference for optimizing fracturing parameters, well spacing, and productivity evaluation in coal reservoirs. The results obtained in this study are consistent with the results obtained by using the four-dimensional (4D in short) image monitoring technology, which proves the good accuracy and reliability of the micromaterial tracer monitoring method.
煤储层的高吸附能力给利用示踪剂评估压裂水平井各段的产能和产量剖面带来了挑战。在本研究中,首先分析了B区块煤样的微观结构及其对一种微材料示踪剂的吸附特性。然后,通过评估不同类型的络合剂和萃取剂,提出了一种适用于B区块的抗吸附微材料示踪剂体系。该体系由微材料示踪剂(200 ppb)+乙二胺四乙酸四钠(简称EDTA - 4Na)(0.01%)+磷酸二(2 - 乙基己基)酯(简称HDEHP)(0.001%)组成,并分析了该体系的抗吸附特性。通过一口压裂井和两口相邻井的返排液测试,分析了微材料示踪剂的浓度动态。然后,建立了水平井各段产能和连通性的判断方法。此外,采用抗吸附微材料示踪剂体系判断方法,分析了B区块煤储层水平井B1的分段压裂效果。利用8种微材料示踪剂标记各压裂段中的流体,以评估井B1与相邻井B1 - 1和B1 - 2之间的连通性。结果表明,抗吸附微材料示踪剂体系的吸附损失最小,可很好地应用于煤储层水平压裂井的分段监测。井B1的主要产段为#1、#4和#8。井B1在#1、#4、#6和#8段与相邻井B1 - 1连通性良好。相反,井B1的所有段与相邻井B1 - 2的连通性均较差。研究结果可为优化煤储层压裂参数、井距和产能评估提供可靠参考。本研究获得的结果与利用四维(简称4D)图像监测技术获得的结果一致,证明了微材料示踪剂监测方法具有良好的准确性和可靠性。