新疆石油地质
新疆石油地質
신강석유지질
XINJIANG PETROLEUM GEOLOGY
2010年
2期
174-177
,共4页
聂仁仕%贾永禄%沈楠%秦旭升%张武%刘舜
聶仁仕%賈永祿%瀋楠%秦旭升%張武%劉舜
섭인사%가영록%침남%진욱승%장무%류순
天然能量指标%注水%采出程度%注采比%预测
天然能量指標%註水%採齣程度%註採比%預測
천연능량지표%주수%채출정도%주채비%예측
natural drive index%natural energy%water injection%waterflooding%oil recovery%injection to production ratio%prediction%forecast
传统的油藏天然能量指标分析方法仅用来分析注水前的油藏天然能量大小.经理论研究发现:△_p~-(平均地层压力降)与N_(pr)(无因次弹性产量比值)呈幂指数关系,双对数曲线呈线性规律;双对数图上等时间间隔点越密集,边底水补充地层能量越及时,水侵速度越快;驱动能力指标同样适用于注水后的分析与评价,且变化规律不变.注水后等时间间隔点越密集,注水效果越好;运用△_p~-与N_(pr)关系式可以准确地预测原油采出程度,同时结合油藏水驱特征曲线还可以确定合理累积注采比和阶段注采比.最后,用于实例分析取得了良好的预测效果.
傳統的油藏天然能量指標分析方法僅用來分析註水前的油藏天然能量大小.經理論研究髮現:△_p~-(平均地層壓力降)與N_(pr)(無因次彈性產量比值)呈冪指數關繫,雙對數麯線呈線性規律;雙對數圖上等時間間隔點越密集,邊底水補充地層能量越及時,水侵速度越快;驅動能力指標同樣適用于註水後的分析與評價,且變化規律不變.註水後等時間間隔點越密集,註水效果越好;運用△_p~-與N_(pr)關繫式可以準確地預測原油採齣程度,同時結閤油藏水驅特徵麯線還可以確定閤理纍積註採比和階段註採比.最後,用于實例分析取得瞭良好的預測效果.
전통적유장천연능량지표분석방법부용래분석주수전적유장천연능량대소.경이론연구발현:△_p~-(평균지층압력강)여N_(pr)(무인차탄성산량비치)정멱지수관계,쌍대수곡선정선성규률;쌍대수도상등시간간격점월밀집,변저수보충지층능량월급시,수침속도월쾌;구동능력지표동양괄용우주수후적분석여평개,차변화규률불변.주수후등시간간격점월밀집,주수효과월호;운용△_p~-여N_(pr)관계식가이준학지예측원유채출정도,동시결합유장수구특정곡선환가이학정합리루적주채비화계단주채비.최후,용우실례분석취득료량호적예측효과.
The traditional analysis' method of the reservoir natural drive index can only be used in the judgment of reservoir natural energy scale prior to waterflooding. The theoretical study shows that the correlation curve of △_p~- and _(pr), assumes some kind of power relations, the bi-logarithmic curve assumes linear pattern; on the bi-logarithmic plot, the more dense the iso-time interval spots are, the more timely the energy feeding of bottom and edge water to the formation is, and the quicker the water influx rate is. The natural drive index can also be suitable for the analysis and evaluation of reservoir after waterflooding, and the variation of the curves is unchangeable, namely, the more tight the iso-time interval points are, the better the water flooding effectiveness. Also, the correlation of △_p~- and _(pr) is properly applied to prediction of oil recovery factor and hence to determination of rational accumulative and stage injection to production ratios integrated with waterflood characteristic curves of the reservoir. Finally, the case study shows good prediction of them.