石油学报
石油學報
석유학보
ACTA PETROLEI SINICA
2009年
6期
903-907
,共5页
刘朝霞%韩冬%王强%郭尚平
劉朝霞%韓鼕%王彊%郭尚平
류조하%한동%왕강%곽상평
聚合物驱%开发动态%含水率预测%注入量%预测模型
聚閤物驅%開髮動態%含水率預測%註入量%預測模型
취합물구%개발동태%함수솔예측%주입량%예측모형
polymer flooding%development performance%water-cut prediction%injected volume%prediction model
依据聚合物驱含水率降低值与产油量变化趋势相似的特点,将产量预测模型引入聚合物驱含水率预测.分析了Weibull预测模型、广义翁氏预测模型、瑞利预测模型的特点及其对聚合物驱含水率预测的适用性.同时,通过分析影响聚合物驱含水率的因素,将聚合物驱注入量、开发时间及聚合物浓度等主要参数引入预测模型,建立了聚合物驱含水率预测的新模型.应用该模型对大庆3个聚合物驱区块的含水率进行了预测.结果表明,预测曲线与实际含水率曲线的相关系数均高于0.98,预测的含水率最低值及对应的注入量误差均小于4 %,预测结果可靠.该预测模型可用于分析聚合物驱注入量、聚合物浓度、注入速度等因素对聚合物驱含水率的影响,所需参数少,计算快,应用方便.
依據聚閤物驅含水率降低值與產油量變化趨勢相似的特點,將產量預測模型引入聚閤物驅含水率預測.分析瞭Weibull預測模型、廣義翁氏預測模型、瑞利預測模型的特點及其對聚閤物驅含水率預測的適用性.同時,通過分析影響聚閤物驅含水率的因素,將聚閤物驅註入量、開髮時間及聚閤物濃度等主要參數引入預測模型,建立瞭聚閤物驅含水率預測的新模型.應用該模型對大慶3箇聚閤物驅區塊的含水率進行瞭預測.結果錶明,預測麯線與實際含水率麯線的相關繫數均高于0.98,預測的含水率最低值及對應的註入量誤差均小于4 %,預測結果可靠.該預測模型可用于分析聚閤物驅註入量、聚閤物濃度、註入速度等因素對聚閤物驅含水率的影響,所需參數少,計算快,應用方便.
의거취합물구함수솔강저치여산유량변화추세상사적특점,장산량예측모형인입취합물구함수솔예측.분석료Weibull예측모형、엄의옹씨예측모형、서리예측모형적특점급기대취합물구함수솔예측적괄용성.동시,통과분석영향취합물구함수솔적인소,장취합물구주입량、개발시간급취합물농도등주요삼수인입예측모형,건립료취합물구함수솔예측적신모형.응용해모형대대경3개취합물구구괴적함수솔진행료예측.결과표명,예측곡선여실제함수솔곡선적상관계수균고우0.98,예측적함수솔최저치급대응적주입량오차균소우4 %,예측결과가고.해예측모형가용우분석취합물구주입량、취합물농도、주입속도등인소대취합물구함수솔적영향,소수삼수소,계산쾌,응용방편.
According to the similar variation of water-cut reduction to that of oil production, the oil production prediction models were applied to predict the polymer flooding water-cut reduction. The characteristics and applicability of three typical water-flooding pre-diction models in polymer flooding, including Weibull Model, General Mr. Weng Model and Ruili Model, were analyzed. The influ-ential factors for the water-cut variation in polymer flooding development were investigated. The main parameters, such as polymer concentration, pore volume of polymer injection, production time, were introduced into a new prediction model. The new prediction model was used to predict polymer flooding water-cut reduction of three blocks in Daqing Oilfield, and good result has been achieved. All the coefficients of correlation between the actual water-cut curves and the predicted curves are over 0.98. Both errors of the pre-dicted lowest water-cut value and injection rate with the actual values are less than 4%. The new model can be used to predict the effects of polymer injection rate, polymer concentration and injection speed on polymer flooding water-cut variation. This model needs a few parameters and is easy in usage.