华东15选5预测彩乐乐:
[1]肖飛,成志剛,李戈理,等.致密氣藏水平井測井產能預測方法研究[J].測井技術,2019,43(02):143-148.[doi:10.16489/j.issn.1004-1338.2019.02.007]
 XIAO Fei,CHENG Zhigang,LI Geli,et al.Log-based Productivity Evaluation for Horizontal Wells in Tight Gas Reservoir[J].WELL LOGGING TECHNOLOGY,2019,43(02):143-148.[doi:10.16489/j.issn.1004-1338.2019.02.007]
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致密氣藏水平井測井產能預測方法研究()
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《測井技術》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第43卷
期數:
2019年02期
頁碼:
143-148
欄目:
非常規油氣評價
出版日期:
2019-06-20

文章信息/Info

Title:
Log-based Productivity Evaluation for Horizontal Wells in Tight Gas Reservoir
文章編號:
1004-1338(2019)02-0143-06
作者:
肖飛 成志剛 李戈理 羅少成 陳玉林 楊智新 陸艷萍
(中國石油集團測井有限公司測井應用研究院, 陜西 西安 710077)
Author(s):
XIAO Fei CHENG Zhigang LI Geli LUO Shaocheng CHEN Yulin YANG Zhixin LU Yanping
(Research Institute of Logging Application, China Petroleum Logging CO. LTD., Xi'an, Shaanxi 710077, China)
關鍵詞:
測井解釋 產能預測 儲層分類 水平井測井 致密氣層
Keywords:
log interpretation productivity prediction reservoir classification horizontal well logging tight gas
分類號:
P631.84
DOI:
10.16489/j.issn.1004-1338.2019.02.007
文獻標志碼:
A
摘要:
蘇里格氣田×區具有孔隙度小、滲透率低、孔隙結構復雜、各向異性和非均質性強等特點。在水平井開發過程中,由于測井系列少,水平段物性變化大,難于給出合適的解釋標準,多級分段壓裂難以優選射孔層段,評價水平井產能成為難點。通過構建綜合反映儲層物性、巖性、電性的綜合指數,對水平段分段分級評估,基于簡化油藏滲流模型,利用測井資料分別計算各類儲層的產能指數,與試油資料相結合得到了該區的產能預測模型。應用綜合指數能很好地劃分儲層類型并指導射孔層段的優選,該產能預測方法只需測井參數,操作簡單,預測精度高。
Abstract:
The X area of Sulige gas field has the characteristics of low porosity, low permeability, complex pore structure, strong anisotropy and heterogeneity. During the development with horizontal wells, it was difficult to establish appropriate interpretation standard, select which intervals to perforate when fracturing at multiple stages, and therefore hard to evaluate the productivity of the horizontal wells, because of insufficient log data and different reservoir physical properties of the horizontal sections. In this study, comprehensive indicators are introduced to reflect the lithologic, physical and electrical properties of reservoirs, so that the horizontal sections can be classified and evaluated. Then based on a simplified reservoir seepage model, the productivity of every reservoir is calculated using logging data. Finally, a productivity prediction model of a block is built by considering well test data. Comprehensive indicators can be used to classify reservoirs and select intervals to perforate. Only with logging parameters, the productivity prediction method is very easy to use and gives very accurate prediction.

參考文獻/References:

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備注/Memo

備注/Memo:
(修回日期: 2019-01-22 本文編輯 余迎)基金項目: 中國石油天然氣集團有限公司重大專項“測井重大技術現場試驗與集成配套”(2016D-3803) 第一作者: 肖飛,男,1984年生,碩士,工程師,從事測井資料解釋評價工作。E-mail:[email protected]
更新日期/Last Update: 2019-06-20