地震勘探技术在焉耆盆地勘探开发中的合理应用探讨

地震勘探技术应用可以分为以二维地震研究构造为主的地震勘探初级阶段、以地震地层学为主的地震勘探中级阶段、以三维地震油藏静态描述为主的地震勘探高级阶段、以地震储层研究为主的开发地震妆级阶段和以四维地震进行油藏监测为主的开发地震高级阶段。针对5个不同阶段的地质条件和地质任务，选择使用合理的地震勘探技术是有效提高勘探开发效益的重要途径。焉耆盆地的勘探开发体现了以地震勘探为主的思路，在勘探开发过程中重视了针对不同勘探开发阶段和不同的地质 地震技术，因此，在早期勘探开发中取得了很好的经济效益。     

寻找非构造油气藏的新思路

目前,一种新的理论体系和研究方法已经形成,并正在发展和逐步完善。那就是层序地层学和油气成藏系统理论的诞生和发展;以及由计算机的快速发展带动起来的地震测井资料的采集、处理、显示和各种地质问题的计算机模拟技术,使得地质学和石油地质学都在朝着从定性到定量,从推测到更科学的预测方向发展。在今后的5～10年中,中国的石油地质家们不仅要注意方法和技术方面的进步,还应当重视在陆相层序地层学和陆相层序中油气成藏机制等基本理论方面的研究。     

PPS：基于PROSITE数据库检索蛋白质功能位点的计算机程序

用标准Ｃ语言在ＩＢＭ－ＰＣ兼容微机上开发了基于ＰＲＯＳＩＴＥ数据库检索蛋白质序列功能位点的ＰＰＳ程序，ＰＲＯＳＩＴＥ是Ｂａｉｒｏｃｈ建立的蛋白质功能位点或结构模式的资料库，为蛋白质序列分析和结构功能研究提供了新工具。     

On inversive maximal period polynomials over finite fields

Over finite field GF(q) withq a power of an odd primep, we characterize inversive maximal period polynomials in terms of polynomials of orderq + 1, and then we study some properties of polynomials of orderq + 1.This paper was written while the author was visiting the Institute of Information Processing, Austrian Academy of Sciences, AustriaThe author would like to thank the Institute of Information Processing, Austrian Academy of Sciences, Austria, for its hospitality and for using its facilities     

准噶尔盆地车排子地区侏罗系层序地层格架

在前人对准噶尔盆地全盆地或局部层序地层大量研究成果的基础上，重点对盆地西北缘侏罗系地层格架特征开展了深入、细致的解剖和刻划，建立了层序地层格架，首次对车排子地区侏罗系层序及体系域界面特征进行了描述，并结合钻探井资料，划分了有利的沉积相带，对盆地侏罗系隐蔽型圈闭和油气藏的勘探提供了一种思想和方法。     

测井资料高分辨率层序地层分析

高分辨率层序地层学克服了岩性地层对比穿时的缺点.高分辨率层序地层对比是等时的高精度的地层对比,它满足了勘探开发中地层对比等时性和高分辨率的要求.测井资料的纵向分辨率较高,是高分辨率层序地层研究的重要资料.提出了利用测井相分析技术,从测井资料上识别出单井岩性和沉积微相剖面,结合测井曲线特征,划分单井基准面旋回,并进行连井地层等时对比,这为定量地进行高分辨率层序地层分析提供了一种方法.通过研究区实际资料的处理,验证了该方法的有效性.     

应用计算机实现选矿自动化

本文就太钢尖山铁矿计算机控制系统的硬件构成，顺控系统的软件编制、模拟调试以及现场调试等方面展开论述。     

层序地层模式浅析

维尔等人（１９８８，１９８９）提出的层序地层立体模式，可以说是他们的层序地层学新概念立论的基础，也是他们赖于进行地层和岩相解释的依据。然而，这一模式的实质，仍未超越传统地质概念的范畴。除了术语上的差别外，它与经典的海进－海退旋回性层序模式没有根本的差别。     

Optimal and Suboptimal Quadriphase Sequences Derived from Maximal Length Sequences over Z _{{\bf 4}}

The paper presents families of quadriphase sequences derived from maximal length sequences over having good correlation properties. These are: (i) families of quadriphase sequences of period from maximal length sequences over ; each family consisting of sequences, (ii) families of quadriphase sequences of period from interleaved maximal length sequences over ; each family consisting of sequences. Such sequences are of interest in quadriphase modulated code division multiple access communication systems, where it is desirable to have large sets of sequences that possess low value of , the maximum magnitude of the periodic crosscorrelation and out of phase auto-correlation values. The sequences over are viewed as trace functions of appropriately chosen unit elements of Galois extension rings of . Quadriphase sequences are then obtained from sequences, by a quadriphase mapping, , from to roots of unity, given by, ; where and . Periodic correlation properties (correlation values and their distribution) of the quadriphase sequences are obtained by using an Abelian association scheme on the elements of the corresponding Galois extension ring of . The majority of the families of sequences derived are optimal with respect to the Welch lower bound on ; the rest being suboptimal with bounded by , where is the period\newpage of the sequences. However nearly half of the sequences in these families are balanced. Received July 18, 1995; revised version November 29, 1996     

Automatic annotation of tennis games: An integration of audio,vision, and learning

Fully automatic annotation of tennis game using broadcast video is a task with a great potential but with enormous challenges. In this paper we describe our approach to this task, which integrates computer vision, machine listening, and machine learning. At the low level processing, we improve upon our previously proposed state-of-the-art tennis ball tracking algorithm and employ audio signal processing techniques to detect key events and construct features for classifying the events. At high level analysis, we model event classification as a sequence labelling problem, and investigate four machine learning techniques using simulated event sequences. Finally, we evaluate our proposed approach on three real world tennis games, and discuss the interplay between audio, vision and learning. To the best of our knowledge, our system is the only one that can annotate tennis game at such a detailed level.