The controlling factors and distribution prediction of H2S formation in marine carbonate gas reservoir, China

Generally, there are some anhydrites in carbonate reservoir, as H2S is also familiar in carbonate oil and gas reservoirs. Nowadays, natural gas with high H2S concentration is usually considered as TSR origin, so there is close relationship between H2S and anhydrite. On the contrary, some carbonate rocks with anhydrite do not contain H2S. Recently, researches show that H2S is only a necessary condition of H2S formation. The reservoir porosity, sulfate ion content within formation water, reservoir temperature, oil/gas and water interface, hydrocarbon and some elements of reservoir rock have great controlling effects on the TSR occurrence. TSR deoxidizes hydrocarbon into the acidic gas such as H2S and CO2, and the H2S formation is controlled by TSR occurrence, so the relationship among reaction room, the contact chance of sulfate ion and hydrocarbon, the reservoir temperature has great influence on the TSR reaction. H2S has relatively active chemical quality, so it is still controlled by the content of heavy metal ion. Good conditions of TSR reaction and H2S preservation are the prerequisite of H2S distribu- tion prediction. This paper builds a predictive model based on the characteristic of natural gas reservoir with high H2S-bearing. In the porosity reservoir with anhydrite, the formation water is rich in sulfate and poor in heavy metal ion. Oil and gas fill and accumulate in the gas reservoir with good preservation conditions, and they suffered high temperature later, which indicates the profitable area of natural gas with high H2S-bearing.     

基于微观渗流机理的宏观油藏数值模拟研究

处于高含水开发期油藏的剩余油分布主要受流体性质和岩石孔隙结构的影响，而经典数值模拟并没有考虑微观孔喉特征的影响。为此建立了描述微观孔喉特征的地层孔隙网络模型，并对构成网络的基本连线单元进行改进，使网络模型能更细致地描述油水分布特征和水驱油微观机理。利用逾渗理论计算了基于微观渗流机理的相对渗透率曲线，并将其应用到经典数值模拟计算中，实现了微观渗流机理与宏观数值模拟计算的结合。实例分析表明，利用该数值模拟计算方法得到的基于微观特征的剩余油分布更符合地下实际流体分布，其结果可为调剖堵水、化学驱提供技术参数。     

无粘结预应力圆形贮水池结构设计与工程测试

介绍了某5000m^3无粘结预应力贮水池结构的内力分析过程、结果及结构设计情况，并简要介绍了实际工程施工的测试过程及数据分析结果。     

神经网络在可靠性分析中的应用

应用人工神经网络对舰炮发生故障的发射炮弹数进行了预测。借助前馈神经网络对非线性函数的逼近能力，对发生故障的发射炮弹数进行了单步预测，并与使用灰色数列预测的结果进行了对比，验证了人工神经网络进行可靠性预测的可行性。     

斜坡变形破坏的预测及防护

通过对斜坡变形破坏和影响因素的研究，探讨工程建设中斜坡变形破坏的预测及防护。     

基于RBF网络的混沌时间序列的建模与多步预测

提出将RBF神经网络应用于混沌时间序列的建模与预测中 ,设计了一个三层RBF网络结构 ,说明了RBF网络用于混沌时间序列建模和预测时的基本性质。仿真结果表明 ,RBF网络模型对混沌时间序列有比较强的拟合能力和比较高的一步及多步预测精度。采用RBF网络进行混沌时间序列的建模和预测能够取得比其它方法好得多的效果。     

临界等温线的推算──几个立方型状态方程的比较

对ＰＴ方程等几个立方型状态方程描述氩的临界等温线的能力作比较研究。在临界压力以下区域．ＰＴ方程、ＨＳ－ＳＲＫ方程和ＳＲＫ方程推算精度较好，ＡＡＤ＜０．４％。在临界压力以上区域，所讨论的五个方程都不能提供具有合理精度的描述。     

A new model for the life prediction of GH4133 under TMF conditions

Thermal mechanical cyclic strain tests were carried out under in-phase and out-of-phase conditions on a Nickel-base Superalloy GH4133 in the temperature range of 571-823℃. Based on analyzing the present models of TMF (thermal mechanical fatigue) life prediction, a new model for predicting nickel-base superalloy TMF lifetime was proposed.TMF life of superalloy GH4133 was calculated accurately based on the new model. Experimental TMF life has been compared with the calculatedresults and all results fall in the scatter band of 1.5. The calculating results show that the new model is not only simple, but also precise. This model will play great roles in life prediction of the metal materials and the engineering components subjected to non-isothermal service conditions.     

沉积盆地侵入岩区的异常“温度场、压力场和地球化学场”与油气的关系——以东营凹陷纯西辉长岩为例

通过岩石学、有机地球化学等分析 ,发现纯西辉长岩周围烃源岩具有有机质含量极低、高熟和裂缝发育以及油气比较丰富等特征 .研究表明 ,其根源是辉长岩形成的特殊温度场、压力场和地球化学场 ;辉长岩形成的异常高温大大促进了烃源岩热演化 ,并提高了生烃量 ;高压产生的大量裂缝为烃源岩排烃和油气聚集提供了通道和储集空间 ;而辉长岩带来的深源氢对烃源岩起到加氢作用 ,扩大了生烃量     

地震参数综合处理方法在储层横向预测中的应用

建立了一套计算机上可实现的地震参数综合研究的算法和程序,将地震参数综合处理方法变为计算机处理过程,再将地球物理数据转换为地质解释语言.从现有的模式识别或统计分析方法中,选用了输出能量最大准则滤波的综合参数法和标准样本学习的判别分析法进行储层岩性预测.尽管综合参数或判别函数本身已失去了各个参数原有的明确的物理意义,但它却代表了多参数共同性的变化,较可靠地反映出产生这些变化的地质因素.