奇迹觉醒夫妻技能:
[1]楊國鋒,戴家才,劉向君,等.基于優化小波閾值的碳氧比能譜處理方法[J].測井技術,2019,43(01):14-19.[doi:10.16489/j.issn.1004-1338.2019.01.003]
 YANG Guofeng,DAI Jiacai,LIU Xiangjun,et al.Processing Method of C/O Logging Energy Spectrum Based on Optimized Wavelet Threshold[J].WELL LOGGING TECHNOLOGY,2019,43(01):14-19.[doi:10.16489/j.issn.1004-1338.2019.01.003]
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基于優化小波閾值的碳氧比能譜處理方法()
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《測井技術》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第43卷
期數:
2019年01期
頁碼:
14-19
欄目:
方法研究
出版日期:
2019-04-20

文章信息/Info

Title:
Processing Method of C/O Logging Energy Spectrum Based on Optimized Wavelet Threshold
文章編號:
1004-1338(2019)01-0014-06
作者:
楊國鋒1 戴家才1 劉向君12 陳猛1 秦昊1
(1.西南石油大學地球科學與技術學院, 四川 成都 610500; 2.西南石油大學油藏地質與開發工程重點實驗室, 四川 成都 610500)
Author(s):
YANG Guofeng1 DAI Jiacai1 LIU Xiangjun12 CHEN Meng1 QIN Hao1
(1. School of Geoscience and Technology, Southwest Petroleum University, Chengdu, Sichuan 610500, China; 2. State Key Laboratory and Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China)
關鍵詞:
碳氧比測井 濾波處理 小波閾值 反向學習 遺傳算法
Keywords:
C/O logging filtering processing wavelet threshold opposition-based learning genetic algorithm
分類號:
P631.84
DOI:
10.16489/j.issn.1004-1338.2019.01.003
文獻標志碼:
A
摘要:
由于放射性統計漲落以及儀器自身穩定性的影響,碳氧比測井伽馬能譜中會包含一定量的噪聲,影響碳氧比值的計算精度,在資料解釋時需要對能譜進行濾波。傳統小波閾值算法進行信號濾波處理時采用的軟硬閾值函數存在均方根誤差偏大與偽吉布斯效應等問題。提出了一種具有調節參數的改進閾值函數,根據不同的參數取值實現不同的濾波效果。為了獲得改進閾值函數中的最佳參數,提出了基于反向學習策略的遺傳算法,并用于對閾值函數中的參數進行優化。與經典遺傳算法相比,改進遺傳算法具有更好的收斂性與尋優精度。采用優化后的閾值函數對能譜進行濾波處理得到的數據和軟硬閾值函數的處理結果相比具有更小的均方根誤差,能譜中的噪聲也得到了有效壓制,表明所提算法具有更好的適用性。
Abstract:
Due to the fluctuation of radioactivity statistics and the influence of the stability of the instrument, the gamma energy spectrum measured by the C/O logging instrument would contain a certain amount of noise, which can affect the calculation accuracy of the C/O, so it is necessary to filter the energy spectrum during the process of data interpretation. The traditional wavelet threshold algorithm used the soft and hard threshold function for signal filtering, but the function has the problems of large mean square root error and pseudo-Gibbs effect. In order to solve these problems, an improved threshold function which can adjust parameters was proposed in this paper, which can be used according to different parameters to realize different filtering effects. Meanwhile, to obtain the best parameters in the improved threshold function, this paper also proposed a genetic algorithm based on backward learning strategy, which was used to optimize the parameters in the threshold function. Compared with the classical genetic algorithm, the improved genetic algorithm has better convergence and optimization accuracy. By comparison, it was found that compared with the processing results of the soft and hard threshold function, the data obtained by the optimized threshold function had a smaller mean square root error, and the noise in the energy spectrum was effectively suppressed, which indicated that the proposed algorithm has better applicability.

參考文獻/References:

奇迹觉醒刷怪最强职业 www.gtarc.icu
[1] SIMPSON G A, JACOBSON L A, ESCOBAR R. A new small-diameter, high-performance reservoir monitoring tool [C]∥SPWLA 39th Annual Logging Symposium, 1998.
[2] JR W G, PRATI E, PEMPER R, et al. Introduction of a new through-tubing multifunction pulsed neutron instrument [C]∥SPE56803, SPE ATCE, 1999.
[3] 李倫輝, 何劍鋒, 王芹, 等. 改進小波閾值方法對γ能譜去噪的研究 [J]. 原子能科學技術, 2016, 50(7): 1279-1283.
[4] DONOHO D, JOHNSTONE I. Adapting to unknown smoothness via wavelet shrinkage [J]. Publications of the American Statistical Association, 1995, 90(432): 1200-1224.
[5] 潘泉, 孟晉麗, 張磊, 等. 小波濾波方法及應用 [J]. 電子與信息學報, 2007, 29(1): 236-242.
[6] 楊祎罡, 王汝贍, 李元景. 利用小波濾波方法對γ能譜進行處理 [J]. 核技術, 2002, 25(4): 241-246.
[7] DONOHO D L. De-noising by soft-thresholding [J]. IEEE Transactions on Information Theory, 2002, 41(3): 613-627.
[8] VARGAS R N. Seismic trace noise reduction by wavelets and double threshold estimation [J]. Iet Signal Processing, 2018, 11(9): 1069-1075.
[9] ZHANG X P, DESAI M D. Adaptive de-noising based on SURE risk [J]. IEEE Signal Processing Letters, 2002, 5(10): 265-267.
[10] 關新平, 劉冬, 唐英干, 等. 基于局部方差的模糊小波閾值圖像去噪 [J]. 系統工程與電子技術, 2006, 28(5): 650-653.
[11] 王堯葵, 于翔, 王珩, 等. 利用小波閾值法提高地震勘探信號的信噪比 [J]. 地學前緣, 2017, 24(3): 319-324.
[12] TIZHOOSH H R. Opposition-based learning: a new scheme for machine intelligence [C]∥International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol. IEEE Computer Society, 2005: 695-701.
[13] 夏學文, 劉經南, 高柯夫, 等. 具備反向學習和局部學習能力的粒子群算法 [J]. 計算機學報, 2015(7): 1397-1407.
[14] 謝承旺, 許雷, 趙懷瑞, 等. 應用精英反向學習的多目標煙花爆炸算法 [J]. 電子學報, 2016, 44(5): 1180-1188.
[15] WANG H. Opposition-based barebones particle swarm for constrained nonlinear optimization problems [J]. Mathematical Problems in Engineering, 2012: 1-12.
[16] HOLLAND J H. Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence [J]. Ann Arbor, 1975, 6(2): 126-137.
[17] 趙軍, 祁興中, 宋帆, 等. 遺傳算法在測井識別凝析氣藏中的應用 [J]. 測井技術, 2006, 30(4): 313-316.
[18] 方中于, 王麗萍, 杜家元, 等. 基于混合智能優化算法的非線性AVO反演 [J]. 石油地球物理勘探, 2017, 52(4): 797-804.
[19] 陶珂, 朱建軍. 小波去噪質量評價方法的對比研究 [J]. 大地測量與地球動力學, 2012, 32(2): 128-133.
[20] 蘇睿, 王仲奇. γ能譜小波降噪控制研究 [J]. 原子能科學技術, 2014, 48(7): 1309-1313.

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備注/Memo

備注/Memo:
基金項目: 中國石油天然氣集團公司重大科技專項“油井高精度持水率計配套研究與應用”(2016D-3802)
第一作者: 楊國鋒,男,1992年生,博士研究生,從事油氣井生產動態監測與套后儲層評價。E-mail:[email protected]
通訊作者: 戴家才,男,1966年生,教授,從事生產測井方法、資料解釋與綜合應用研究。E-mail:[email protected]
更新日期/Last Update: 2019-04-20