| 摘 要: 致密油藏压裂裂缝参数的反演对提高油气采收率具有重要意义。针对裂缝的三维表征参数,基于前期建立的三维离散裂缝模型,通过方差分析评估了致密油藏水平井衰竭式开采三维裂缝参数对产量影响,并明确了其中对产量起主导作用的主控因素,并基于粒子群算法对三维裂缝的参数进行了反演,同时结合主控因素对反演结果进行讨论。研究结果表明,三维裂缝的渗透率、长度和高度为影响产量的主控因素,基于数值模拟反演得到的裂缝参数(渗透率、长度和高度)的可靠性较高;所建立的反演方法以98.5%的精度成功识别三维裂缝的主控因素。 |
| 关键词: 致密油藏;裂缝反演;三维裂缝;方差分析;主控因素 |
|
中图分类号: TP319
文献标识码: A
|
| 基金项目: 浙江理工大学科研启动基金(19062411-Y);油气资源与工程全国重点实验室开放课题(PRP/open-2212) |
|
| Inversion Method for 3D Fracture Parameters in Tight Oil Reservoirs Based on Variance Analysis and Particle Swarm Optimization |
|
YU Chengwen1, ZHAO Yuyun1,2
|
(1.Zhejiang Sc-i Tech University, Hangzhou 310018, China;
2.State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing 102249, China)
1046862646@qq.com; zhaoyuyun@zstu.edu.cn
|
| Abstract: The inversion of fracture parameters in tight oil reservoirs is of great significance for enhancing oil and gas recovery. Focusing on the 3D characterization parameters of fractures, this study conducts Analysis of Variance (ANOVA) to evaluate the impact of 3D fracture parameters on production during the depletion exploitation of horizontal wells in tight oil reservoirs, based on a pre-established 3D Discrete Fracture Model (3D-DFM).The primary controlling factors dominating production are identified, and the parameters of 3D fractures are inverted using the particle swarm optimization algorithm. The inversion results are discussed in conjunction with the primary controlling factors. The research results indicate that the permeability, length, and height of the 3D fractures are the primary controlling factors affecting production, and the reliability of the fracture parameters (permeability, length, and height) obtained through numerical simulation inversion is relatively high. The established inversion method successfully identifies the primary controlling factors of 3D fractures with an accuracy of 98.5% . |
| Keywords: tight oil reservoir; fracture inversion; 3D fracture; Analysis of Variance ( ANOVA); primary controlling factors |
