Early warning methods of chemical agent channeling in polymer–surfactant flooding reservoirs

Author:

Du Qingjun12ORCID,Zhao Dong12,Wu Jintao3,Hou Jian124ORCID,Wei Zhijie5,Shi Lina126,Zhou Kang7,Zheng Haoyu12,Zhang Jian5,Liu Yongge12

Affiliation:

1. National Key Laboratory of Deep Oil and Gas China University of Petroleum (East China) Qingdao China

2. School of Petroleum Engineering China University of Petroleum (East China) Qingdao China

3. Institute of CNOOC Tianjin Branch Company Tianjin China

4. Laboratory for Marine Mineral Resources Qingdao National Laboratory for Marine Science and Technology Qingdao China

5. CNOOC Research Institute Co., Ltd. Beijing China

6. College of Science China University of Petroleum (East China) Qingdao China

7. College of Energy and Mining Engineering Shandong University of Science and Technology Qingdao China

Abstract

AbstractIn the chemical flooding process, the premature breakthrough of chemical agents in production wells results in a large waste of chemical agents and increases the volume and processing difficulty of the produced fluids. The early warning method of chemical agent channeling can predict the strength of agent channeling in advance. The practice of chemical flooding shows that the production performance can be used for early warning of chemical agent channeling. In this paper, we analyze the relationship between cumulative oil production and cumulative polymer production of production wells in polymer–surfactant flooding. Three types of curves according to the enhanced oil production characteristics of chemical flooding, including convex type, S‐type, and concave type. We use the drop speed of the water–oil ratio and the rapid‐decline speed of water cut as early warning indicators to predict the channeling coefficient. A Latin hypercube experimental design method is used to design a polymer–surfactant flooding scheme with the main control factors of the channeling coefficient and early warning indicators. Numerical simulation is used to calculate samples of the channeling coefficient and early warning indicators under various conditions. The drop speed of the water–oil ratio reference value model and the rapid‐decline speed of the water cut reference value model are determined with a multiple regression method. A prediction model for the chemical agent channeling coefficient is established using the deviation coefficient of an early warning index. The method is applied in the Ng54‐61 polymer–surfactant flooding pilot area in the west of the Gudong Seventh District, Shengli Oilfield, China, and the error between the predicted result and the actual value is less than 10%. This research is helpful in taking effective antichanneling measures and improving the oil recovery degree of chemical flooding reservoirs.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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