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一种非稳态产能模型及对超高温/高压低渗透含水气藏的主要影响因素

An Unsteady-State Productivity Model and Main Influences on Low-Permeability Water-Bearing Gas Reservoirs at Ultrahigh Temperature/High Pressure.

作者信息

Guo Ping, Wen Yunfan, Wang Zhouhua, Ren Junjie, Yang Liu

机构信息

State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China.

China National Offshore Oil Corporation, Haikou 570100, China.

出版信息

ACS Omega. 2022 Feb 15;7(8):6601-6615. doi: 10.1021/acsomega.1c05958. eCollection 2022 Mar 1.

Abstract

Currently, there is insufficient knowledge on the development of China's low-permeability gas reservoirs under ultrahigh-temperature and high-pressure conditions; furthermore, the actual development process is difficult and has high technical demands. For example, the Ledong block in the South China Sea is a typical gas reservoir characterized using ultrahigh temperature (190 °C), high pressure (90 MPa), high water production, and low permeability (less than 1 mD). However, it is difficult to determine the factors influencing its production capacity, and the application of the traditional production capacity model is problematic because of the production of water. Accordingly, this study, which is based on the seepage theory, considers the influence of water production on the productivity of a single well; this study establishes an evaluation method for a low-permeability water-bearing gas reservoir vertical well (i.e., a highly deviated well) to determine how an unsteady state affects productivity. This method comprehensively considers stress sensitivity, initial pressure gradient, gas-water permeability, formation thickness, absolute permeability, supply radius, discharge radius, and well deviation angles to clarify the main factors affecting the productivity of single wells. Statistical methods are used to calculate and analyze the key influential factors, and this study provides quantitative evaluation methods to understand the productivity (and its influencing factors) of both vertical and highly deviated wells and the law of productivity decline. The model calculates the unblocked flow rate for 18 years as 319 × 10 m/d. Compared with the actual production unblocked flow rate of 332 × 10 m/d, the average error is 3.9%, which is within the allowed engineering range. Research shows the following order of factor influence on productivity: produced water-gas volume ratio > permeability > stress sensitivity coefficient > reservoir thickness > start-up pressure gradient > well deviation angle > discharge radius. Water saturation is the main factor affecting the unsteady-state productivity of gas wells in low-permeability gas reservoirs. In this study, with a production time of 100 days, the water saturation increases from 45 to 85%, and the open flow of the gas well decreases significantly from 30.1 × 10 to 1.6 × 10 m/d, which is a decrease of 94.7%. Moreover, a continuous increase in the stress sensitivity coefficient, start-up pressure gradient, and water saturation caused a leftward shift in the inflow performance relationship curves of the modeled gas wells, whereas their production decreased.

摘要

目前,对于中国超高温高压条件下低渗透气藏的开发,认识尚不充分;此外,实际开发过程难度大,技术要求高。例如,南海乐东区块是一个典型气藏,具有超高温(190℃)、高压(90MPa)、高产水和低渗透(小于1毫达西)的特点。然而,难以确定影响其产能的因素,且由于产水问题,传统产能模型的应用存在问题。因此,本研究基于渗流理论,考虑产水对单井产能的影响;建立了低渗透含水气藏垂直井(即大斜度井)的评价方法,以确定非稳态如何影响产能。该方法综合考虑应力敏感性、初始压力梯度、气水渗透率、地层厚度、绝对渗透率、供给半径、泄流半径和井斜角,以阐明影响单井产能的主要因素。采用统计方法计算和分析关键影响因素,本研究提供了定量评价方法,以了解垂直井和大斜度井的产能(及其影响因素)以及产能递减规律。该模型计算出18年的无阻流量为319×10立方米/天。与实际生产无阻流量332×10立方米/天相比,平均误差为3.9%,在允许的工程范围内。研究表明,各因素对产能的影响顺序为:产水气比>渗透率>应力敏感系数>储层厚度>启动压力梯度>井斜角>泄流半径。含水饱和度是影响低渗透气藏气井非稳态产能的主要因素。在本研究中,生产100天时,含水饱和度从45%增加到85%,气井无阻流量从30.1×10立方米/天显著降至1.6×10立方米/天,降幅为94.7%。此外,应力敏感系数、启动压力梯度和含水饱和度的持续增加导致模拟气井流入动态关系曲线左移,而其产量下降。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2664/8892857/00b8d2b1008a/ao1c05958_0002.jpg

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