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海上多层复合注水溶气气井产量劈分方法

The Production Splitting Method of Offshore Multilayer Combined Water Flooding Gas Wells with Gas Dissolving.

作者信息

Ren Chaoqun, Deng Chuanzhong, Jiang Zhehao, Fu Qiang, Jiang Lili, Guo Yuchuan, Wu Keliu

机构信息

CNOOC China Limited, Hainan Branch, Haikou 570312, China.

CNOOC China Limited, Shanghai Branch, Shanghai 200335, China.

出版信息

ACS Omega. 2024 Mar 6;9(11):12850-12865. doi: 10.1021/acsomega.3c08949. eCollection 2024 Mar 19.

DOI:10.1021/acsomega.3c08949
PMID:38524432
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10955591/
Abstract

Offshore gas reservoirs are characterized by thin interlayers, high production, few wells, etc., and are often exploited by multilayer combined mining, whereas the production dynamics of multilayer gas reservoirs are very different from those of single-layer gas reservoirs. Therefore, clarifying the gas production contribution of each layer in multilayer combined gas reservoirs is an important prerequisite for analyzing the potential of gas reservoirs and realizing efficient development. In this paper, unlike the past method of evaluating the gas production contribution of each layer by using the KH attribute of the reservoir, we combined the modified B-L equation considering CO dissolution and the multilayer multizone seepage equation to establish a dynamic split model of the production dynamics of multilayer water-driven gas reservoirs, verified the reliability of the model through the numerical model and the results of the production well logging, quantitatively analyzed the degree of influence of each parameter on the contribution of the layered gas production, and designed the orthogonal experiments. The main controlling factors of the gas production contribution of each layer were determined. The results of the study show that (1) the main controlling factors for the gas production contribution of each layer in the early stage of WDG are, in order, permeability, thickness, outer boundary distance, porosity, CO content, and total gas production rate; however, the main controlling factors for the gas production contribution of each layer in the late stage of WDG are, in order, thickness, permeability, outer boundary distance, porosity, CO content, and total gas production rate; and the combined view shows that the permeability and thickness have the greatest influence. (2) In multilayer production, the conditions of high permeability, close gas-water boundary, poor gas content, and low CO content will reduce the gas production contribution of the layer with the increase of production time. (3) Compared with the results of production logging and numerical simulation, the split model can better predict the gas production of each layer, and the prediction error is no more than 10%. (4) By comparing with the numerical simulation results, the model can realize the prediction of the time of seeing water in the layer with stronger water body capability. (5) The model takes into account the effect of the CO content, better reflects the actual gas composition of each layer, and can improve the production prediction accuracy by up to 4%. Considering the high cost of production logging in offshore oil and gas fields, the inability of the KH method to reflect the dynamic changes of gas production in each layer, the poor application of stratified sampling to dry gas reservoirs, and other limitations, the model in this paper can be utilized to simulate the multilayer water-driven gas drive process when the energy of the water body is strong by using the geological parameters of the reservoir and the fluid parameters, and the simulation results of this model provide directions for offshore multilayer water-driven gas reservoirs to improve the recovery rate, and for plugging and regulating the water and exploiting the potential of gas wells that have seen water.

摘要

海上气藏具有夹层薄、产量高、井数少等特点,常采用多层合采方式进行开发,而多层气藏的生产动态与单层气藏有很大不同。因此,明确多层合采气藏中各层的产气贡献是分析气藏潜力和实现高效开发的重要前提。本文与以往利用储层KH属性评价各层产气贡献的方法不同,将考虑CO溶解的修正B-L方程与多层多区渗流方程相结合,建立了多层水驱气藏生产动态的动态劈分模型,通过数值模型和生产测井结果验证了模型的可靠性,定量分析了各参数对分层产气贡献的影响程度,并设计了正交试验,确定了各层产气贡献的主控因素。研究结果表明:(1)水驱气早期各层产气贡献的主控因素依次为渗透率、厚度、外边界距离、孔隙度、CO含量和总产气速率;而水驱气后期各层产气贡献的主控因素依次为厚度、渗透率、外边界距离、孔隙度、CO含量和总产气速率;综合来看,渗透率和厚度的影响最大。(2)在多层生产中,渗透率高、气水边界近、含气性差、CO含量低的条件会使该层产气贡献随生产时间增加而降低。(3)与生产测井和数值模拟结果相比,劈分模型能更好地预测各层产气,预测误差不超过10%。(4)通过与数值模拟结果对比,该模型能实现对水体能力较强层见水时间的预测。(5)该模型考虑了CO含量的影响,更好地反映了各层实际气体组成,可将生产预测精度提高4%。考虑到海上油气田生产测井成本高、KH方法无法反映各层产气动态变化、分层采样对干气藏适用性差等局限性,本文模型可利用储层地质参数和流体参数模拟水体能量较强时的多层水驱气驱替过程,该模型的模拟结果为海上多层水驱气藏提高采收率、堵水调剖以及挖掘见水井气井潜力提供了指导。

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