[1]姜黎明,賀飛,盧春利,等.基于電阻率漸變侵入地層模型的陣列側向測井反演研究[J].測井技術,2019,43(03):247-251.[doi:10.16489/j.issn.1004-1338.2019.03.005]
 JIANG Liming,HE Fei,LU Chunli,et al.Array Lateral Logging Inversion Based on Resistivity Gradient Intrusion Formation Model[J].WELL LOGGING TECHNOLOGY,2019,43(03):247-251.[doi:10.16489/j.issn.1004-1338.2019.03.005]
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基于電阻率漸變侵入地層模型的陣列側向測井反演研究()
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《測井技術》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第43卷
期數:
2019年03期
頁碼:
247-251
欄目:
方法研究
出版日期:
2019-06-30

文章信息/Info

Title:
Array Lateral Logging Inversion Based on Resistivity Gradient Intrusion Formation Model
文章編號:
1004-1338(2019)03-0247-05
作者:
姜黎明12 賀飛12 盧春利12 曹景致1 郭英才1 張培軍1
(1.中國石油集團測井有限公司技術中心, 陜西 西安 710077; 2.中國石油天然氣集團測井重點實驗室, 陜西 西安 710077)
Author(s):
JIANG Liming12 HE Fei12 LU Chunli12 CAO Jingzhi1 GUO Yingcai1 ZHANG Peijun1
(1. Technology Center, CNPC Logging CO. LTD., Xi'an, Shaanxi 710077, China; 2. Well Logging Key Laboratory, CNPC Logging CO. LTD., Xi'an, Shaanxi 710077, China)
關鍵詞:
陣列側向測井 Logistic函數 漸變侵入地層模型 電阻率連續反演
Keywords:
array lateral logging logistic function gradient intrusion formation model continuous inversion
分類號:
P631.84
DOI:
10.16489/j.issn.1004-1338.2019.03.005
文獻標志碼:
A
摘要:
利用視電阻率求取含油氣飽和度誤差大。解決視電阻率與真實電阻率差異問題,一般通過校正圖版和電阻率反演這2種方案。校正圖版均為理想模型所建立,最大問題是單因素疊加校正,造成誤差很大,反演算法綜合考慮了井眼、地層侵入帶、圍巖等因素,比圖版法更合理。但目前基于陣列側向測井資料所用的三參數或五參數反演,構建的正演侵入地層模型為井眼、侵入帶、原狀地層,電阻率變化為臺階狀變化,這與實際地層侵入特征不符。提出基于改進的三參數Logistic函數的電阻率漸變侵入地層建模方法,采用并行差分進化算法實現了沿地層徑向的電阻率連續反演。利用三層正演模型對算法進行了驗證,無論是高侵模型還是低侵模型,反演電阻率接近真實值,誤差在1%以內。
Abstract:
Due to factors such as wellbore, drilling mud intrusion and surrounding rock, the resistivity(apparent resistivity)from electrical logging data is very different from true formation resistivity, so that a large error occurs to the oil saturation calculated using apparent resistivity. Generally correction charts and resistivity inversion models are used to eliminate the difference. A correction chart is established by an ideal model. The biggest problem is single factor superposition, so it may cause a large error. An inversion model takes such factors into account as wellbore, intruded zone and surrounding rock, so it is more reasonable than a correction chart. The forward intrusion model based on three-parameter or five-parameter inversion using array lateral logging data considers wellbore, intruded zone and undisturbed formation, so that the resistivity changes as steps, and is inconsistent with actual intrusion characteristics. A resistivity gradient intrusion formation model is proposed based on improved Logistic function. It realizes continuous inversion of resistivity along radial formation direction using parallel differential evolution algorithm. The algorithm was verified by a three-layer forward model. Whether it is a high-invasion model or a low-invasion model, the resistivity inverted is close to true formation resistivity-the error is less than 1%.

參考文獻/References:

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備注/Memo

備注/Memo:
基金項目: “十三五”國家科技重大專項多維高精度成像測井系列(2017ZX05019-001); 中國石油集團公司重大科技專項(2017B-3705) 第一作者: 姜黎明,男,1983年生,高級工程師,從事電法測井、巖石物理數值模擬研究。E-mail:[email protected]
更新日期/Last Update: 2019-08-30
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