中国石油大学学报(自然科学版)
中國石油大學學報(自然科學版)
중국석유대학학보(자연과학판)
JOURNAL OF CHINA UNIVERSITY OF PETROLEUM(EDITION OF NATURAL SCIENCE)
2014年
6期
113-120
,共8页
程明明%夏添%雷光伦%高建波%李保生
程明明%夏添%雷光倫%高建波%李保生
정명명%하첨%뢰광륜%고건파%리보생
低渗透油藏%多段塞%微生物驱%开发指标%矿场应用%含水率变化规律%指数递减
低滲透油藏%多段塞%微生物驅%開髮指標%礦場應用%含水率變化規律%指數遞減
저삼투유장%다단새%미생물구%개발지표%광장응용%함수솔변화규률%지수체감
low permeability reservoir%multi-slug injection%microbial flooding%development index%field application%water cut variation rule%exponential decline
油藏条件不同,微生物驱油体系的提高采收率能力和油藏适应性也有所差别,需要合理的注入参数对开发指标进行预测。通过模拟不同注入方式微生物驱油实验优化注入参数,在实验基础上综合运用前缘推进理论和经验回归方法,考虑微生物降低原油黏度以及影响油水相对渗透率等客观因素,建立一种将油井产能和含水变化规律结合的预测模型来预测微生物驱开发指标。微生物驱油实验表明,多段塞微生物驱较单一段塞微生物驱采收率可提高9.24%,见水时间能延长40.10%~40.14%,无水采收率提高18.44%;用该模型能较准确地预测微生物吞吐开井后的产油量、增油量、产液量和含水率,单井预测误差小于10%,区块总体产液量和产油量预测误差均小于3%,含水率仅为0.25%。矿场试验采用五级段塞交替注入调剖用微生物与驱油用微生物,试验区含水上升率由8.1%下降至-4.3%,综合递减率由13.3%下降到4.4%,控水稳油效果明显。
油藏條件不同,微生物驅油體繫的提高採收率能力和油藏適應性也有所差彆,需要閤理的註入參數對開髮指標進行預測。通過模擬不同註入方式微生物驅油實驗優化註入參數,在實驗基礎上綜閤運用前緣推進理論和經驗迴歸方法,攷慮微生物降低原油黏度以及影響油水相對滲透率等客觀因素,建立一種將油井產能和含水變化規律結閤的預測模型來預測微生物驅開髮指標。微生物驅油實驗錶明,多段塞微生物驅較單一段塞微生物驅採收率可提高9.24%,見水時間能延長40.10%~40.14%,無水採收率提高18.44%;用該模型能較準確地預測微生物吞吐開井後的產油量、增油量、產液量和含水率,單井預測誤差小于10%,區塊總體產液量和產油量預測誤差均小于3%,含水率僅為0.25%。礦場試驗採用五級段塞交替註入調剖用微生物與驅油用微生物,試驗區含水上升率由8.1%下降至-4.3%,綜閤遞減率由13.3%下降到4.4%,控水穩油效果明顯。
유장조건불동,미생물구유체계적제고채수솔능력화유장괄응성야유소차별,수요합리적주입삼수대개발지표진행예측。통과모의불동주입방식미생물구유실험우화주입삼수,재실험기출상종합운용전연추진이론화경험회귀방법,고필미생물강저원유점도이급영향유수상대삼투솔등객관인소,건립일충장유정산능화함수변화규률결합적예측모형래예측미생물구개발지표。미생물구유실험표명,다단새미생물구교단일단새미생물구채수솔가제고9.24%,견수시간능연장40.10%~40.14%,무수채수솔제고18.44%;용해모형능교준학지예측미생물탄토개정후적산유량、증유량、산액량화함수솔,단정예측오차소우10%,구괴총체산액량화산유량예측오차균소우3%,함수솔부위0.25%。광장시험채용오급단새교체주입조부용미생물여구유용미생물,시험구함수상승솔유8.1%하강지-4.3%,종합체감솔유13.3%하강도4.4%,공수은유효과명현。
Different reservoir conditions cause the different effect of microbial enhanced recovery and its adaptability to the reservoir, the optimized injection parameters predicting the development index are needed. On the basis of frontal advance theory and experienced regression method using experiment data, plus considering some objective factors, such as the oil vis-cosity reduction by the microorganism and oil-water relative permeability influence, a prediction model was established. This model can predict the development index for microbial flooding through the combination of oil well productivity and variation of water cut. Microbial flooding experiments show that the multi-slug can improve the recovery by 9. 24% compared with sin-gle-slug. Also the water breakthrough time of multi-slug microbial flooding can be extended by 40. 10% -40. 14% , and the water-free oil recovery can be increased by 18. 44% . This model can predict almost exactly the dynamic oil production, liq-uid production and water cut of the microbial stimulation well. The max relative forecasting error of single well is less than 10% , the total error of the block is less than 3% , and the forecasting error of water cut is only 0. 25% . In the field experi-ment, five slugs are adopted to inject the profile control microorganism and oil displacement microorganism alternately. In the test block the increased rate of water cut decreases from 8. 1% to -4. 3% , and the composite decline rate decreases from 13. 3% to 4. 4% , indicating the effect of water control and oil production stabilization is significant.