多区块累计生产指标叠合对预估采收率的影响

doi:10.7657/XJPG20230313

摘要/Abstract

摘要：

为了解决同一油藏不同区块存在开发时间差异，导致利用油藏综合开发数据进行采收率标定时，常出现预测采收率偏低的问题，设计了2个区块之间存在不同滞后时间、不同产能规模、不同地质储量等，采用指标对比分析法，对影响因素进行量化研究。结果表明，在同一水驱模型下，采用累计开发生产指标进行叠加，其预估采收率将低于分区块单独预估的采收率之和，且新增的开发区块地质储量或产能占比越大、开发时间越滞后，累计生产指标叠合预估的采收率越低。因此，在采用水驱曲线标定采收率时，应尽可能地按相近的开采时间将油藏划分为若干单元单独计算采收率，否则，利用累计生产指标叠合进行采收率计算将造成标定可采储量或采收率偏低。

关键词: 水驱油藏, 多区块, 水驱特征曲线, 含水变化规律, 叠加性, 开发滞后时间, 预估采收率, 因素分析

Abstract:

Various blocks of a same reservoir might be developed at different time, which leads to the underestimate of oil recovery when using comprehensive reservoir development data to calibrate oil recovery factor. In order to solve this problem, two blocks with different lag time, productivity and OOIP were designed. Through comparative analysis of indexes, the influencing factors were analyzed quantitatively. The results show that, with the same waterflooding model, the recovery factor estimated by superposing cumulative production index is lower than the sum of the recovery factor estimated separately for each block. The larger the proportion of productivity or geological reserves of a new development block and the later the block is developed, the lower the estimated recovery factor through the superposition of cumulative production index. Therefore, when using waterflooding curves to calibrate recovery factor, the oil reservoir should be divided into several units according to the similar production time as possible to calculate the recovery factor separately; otherwise, calculating recovery factor by superposing cumulative production index will result in a lower calibration of recoverable reserves or recovery factor.

Key words: waterflooding reservoir, multi-block, waterflooding characteristic curve, water cut variation, superposition, development lag time, estimated recovery factor, factor analysis

中图分类号:

TE341

宋成元, 杨小璇, 袁玉英, 李艳明. 多区块累计生产指标叠合对预估采收率的影响[J]. 新疆石油地质, 2023, 44(3): 352-358.

SONG Chengyuan, YANG Xiaoxuan, YUAN Yuying, LI Yanming. Influences of Superposition of Multi-Block Cumulative Production Index on Estimated Oil Recovery[J]. Xinjiang Petroleum Geology, 2023, 44(3): 352-358.

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