lithology identification 中文意思是什麼
lithology identification
解釋
巖性鑒別- lithology : n. 1. 【地質學；地理學】巖性學；巖性。2. 【醫學】結石學。
- identification : n. 1. 認出，識別，鑒定，驗明（罪人正身等）。2. 【心理學】自居作用。3. 身分證。4. 【數學】黏合，同化。
-
A study on lithology identification methods for volcanic rocks
火山巖巖性識別方法研究 -
Using digital logging data of logging curves to resume lithology section, based on single well sedimentary facies analysis of cored well, typical sedimentary microfacies and the corresponding electrofacies models are established. each after extracting the essential factors of logging curves, each logging microfacies recognize model are set up to automatically identify sedimentary microfacies by the method of bayes identification and neural networks technical
利用測井曲線的數字化資料，進行巖性剖面恢復，通過取芯井建立沉積微相模式及測井相模式，提取測井曲線形態要素參數，用bayes判別法進行沉積微相自動識別程序。 -
Guided with the theories of plate tectonics and complex hydrocarbon system, based on the analysis of geological factors of hydrocarbon pools in the northern area of tarim basin, the author puts forward the geological background favorable for and the possible areas most suitable for the formation of complex traps. the identification and description of complex traps lead to the recognization of five large and four middle or small complex traps, by the means of the main techniques and methods include the detailed interpretation of seismic profiles, drilling, logging, map compiling based on the depth of sealing surface and on the superimposed relation of stratigraphic lithology over and beneath the unconformity surfaces, and the the use of the reversion of jason and 3d coherent data. at the same time, the major controlling factors of complex trap oil pool have been analyzed based on the case study of typical oil pools in the paper
目前，復合圈閉勘探及研究工作在我國還比較薄弱，本文以板塊構造學、復式含油氣系統等理論為指導，通過對塔北地區石油地質特徵的整體解剖，從動態的角度，綜合分析和探索了塔北地區復合圈閉形成的地質背景及發育的有利區帶和領域，根據鉆、測井及地震剖面精細解釋成果，採用封閉面編圖、不整合面頂底板地層巖性疊置關系編圖方法和jason及三維相干數據體等地球物理反演技術，發現大型復合圈閉顯示2個，中小型復合圈閉4個，復查落實大型復合圈閉3個，並通過典型油氣藏解剖，分析了塔北地區復合圈閉成藏主控因素分析。 -
The research on logging lithology identification suggests that svm can overcome the fundamental disadvantages of neural network, and it is a new method to identify lithology
在測井巖性識別方面研究發現，支持向量機方法克服了神經網路的固有缺陷，提供了一種識別巖性的新方法。
分享友人