[1]馮春珍,林偉川,成志剛,等.低滲透儲層測井分類和產能預測技術[J].測井技術,2012,36(03):308-313.
 FENG Chunzhen,LIN Weichuan,CHENG Zhigang,et al.Reservoir Classification and Productivity Forecasting Method for Low Prorosity and Permeability Reservoir with Log Data[J].WELL LOGGING TECHNOLOGY,2012,36(03):308-313.
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低滲透儲層測井分類和產能預測技術()
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《測井技術》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第36卷
期數:
2012年03期
頁碼:
308-313
欄目:
綜合應用
出版日期:
2012-06-29

文章信息/Info

Title:
Reservoir Classification and Productivity Forecasting Method for Low Prorosity and Permeability Reservoir with Log Data
作者:
馮春珍 林偉川 成志剛 張偉杰 侯亞平 井素娟
中國石油集團測井有限公司長慶事業部, 陜西 高陵 710201
Author(s):
FENG ChunzhenLIN Weichuan CHENG Zhigang ZHANG Weijie HOU YapingJING Sujuan
Changqing Division, China Petroleum Logging CO.LTD., Xi’an, Shaanxi 710201, China
關鍵詞:
測井評價 低孔隙度 低滲透率 產能預測 解釋模型 參數 儲層分類
Keywords:
log evaluation low porosity low permeability productivity forecast interpretation model parameter reservoir classification
分類號:
P631.84
文獻標志碼:
A
摘要:
依據儲層特點和生產的需求,在流體性質識別的基礎上,采用大量的測井 和投產初期測試資料,利用統計學原理,提出儲層參數厚度加權平均值概念,建立含油層測井儲層參數與井投產產量之間關系,研究綜合評價指 數儲層產能等級分類法,符合率達900%以上。在儲層分類的基礎上,分析儲層產能的影響因素,利用平面徑向穩態滲流原理,建立低孔隙度低 滲透率儲層壓裂后產能預測模型及其參數計算方法,注重不同類別儲層對井產能的貢獻率,解決了低滲透儲層壓裂后投產產能測井預測難題,及 其預測符合率達800%以上,形成低滲透儲層產能預測技術。
Abstract:
Based on the identification of fluid properties, reservoir characteristics and production needs, we analyzed a mass of log data, test data in initial production and general theory of statistics, based on which proposed is the concept of reservoir thickness weighted average and established is relationship between reservoir parameters of oilbearing formation and production rate. In this way, proposed is the classification of reservoir productivitycomprehensive evaluation index method, the forecasted productivity is 90% coincidence rate with the practical reservoir productivity. On the basis of reservoir classification, analyzed are the influencing factors on reservoir productivity. The theory of plane radial stable percolation is used to establish a model for postfrac low porosity & permeability reservoir productivity prediction and parameters algorithm, in which the contributions of different reservoirs to each well productivity are considered, and with which the productivity of the above postfrac reservoirs is successfully predicted, its forecasted productivity rate is up to 80%. The productivity prediction technology improves the log interpretation precision, and provides technical support for LWD data analyses, welllocation distribution and adjustment, therefore, being less geologic risk for large well groups developments with lower cost and higher single well production.

參考文獻/References:

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備注/Memo

備注/Memo:
作者簡介: 馮春珍,女,1967年生,高級工程師,從事測井資料解釋研究及技術管理工作。
更新日期/Last Update: 2012-06-20
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