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西部地区第七次石油物探技术研究会于9月8日～11日在银川召开.会议围绕西部复杂地表高难地区地震勘探方法研究,发表论文28篇.分三个专题:(1)沙漠、黄土、砾石、戈壁滩等高难地区的地震采集方法;(2)复杂地表条件下的高精度静校正技术及低信噪比地震资料处理技术;(3)复杂构造的高精度成像与砂泥岩、碳酸盐岩薄储层预测技术.会议认为,近年来对这三大难题做了深入细致的研究.目前已在微地震测井、小折射方法的基础上推广了初至波静校正方法,并在不同地表取得了一定的效果,但还应在新的方法,如地质雷达、高精度小折射技术上,在初至折射波的识别和拾取上,研究认准同一折射面、测线交点闭合精度;研究近地表地震波的传播途径,以及层析静校正与折射波、反射波的联合反演;探讨利用初至折射与多次反射的周期时差计算表层厚度与速度.西部地区大沙漠、黄土源、盐碱壳、山前砾石覆盖区等各类复杂地表的干扰十分强烈和复杂,除野外采集阶段努力降低噪音外,在资料处理阶段做好去除噪音也是一大难题.我们要认真研究各种噪音的来源和形成机理,在共炮点、共接收点、共炮检距、共中心点或共深度点域滤除噪音,才能改善特低信噪比资料的叠加效果.
The Seventh Petroleum Geophysical Technology Research Conference in the Western Region was held in Yinchuan from September 8 to 11. The conference focused on the study of seismic exploration methods in the complex geological conditions in the western part of China with 28 papers published in three special topics: (1) deserts, loess , Gravel, Gobi Desert and other difficult areas; (2) high precision static correction technology and low SNR seismic data processing technology under complex surface conditions; (3) high-precision imaging of complex structures and sandstone and mudstone, carbon Thin reservoir prediction technology of acid salt rock.The conference thinks that these three major problems have been researched intensively in recent years.At first, the first-arrival static correction method has been popularized on the basis of microseismic logging and small refraction method However, some new methods, such as GPR and high precision small refraction techniques, should be used to recognize and pick up the refracted waves at the first arrival. The same refraction surface should be studied and the line intersections should be closed Accuracy, the propagation of near-surface seismic waves, the joint inversion of tomostasis and refracted waves and reflected waves, the calculation of the surface layer thickness and velocity using the first-arrival refraction and the multiple reflections, Desert, loess source, saline-alkali crust, piedmont gravel covered area and other complex surface interference is very strong and complex, in addition to the field collection efforts to reduce noise, noise removal in the data processing stage is also a major challenge.We want to Careful study of the sources and formation mechanisms of various kinds of noise can filter out the noise in common shot points, total reception points, common shots, common center points or common depth points to improve the superposition effect of ultra-low S / N ratio data.