碳酸盐岩层序地层格架对岩溶储层的控制作用——以渤海西南海域下古生界为例

以钻井、测井、地震以及岩心、薄片资料为基础,在划分三级层序的基础上,探讨了渤海西南海域下古生界层序地层特征及其对岩溶储层的控制作用。结果表明：1）三级层序界面附近发育碳、氧同位素负异常以及自然能谱Th/K正异常,基于此特征将下古生界划分为21个三级层序;2）白云岩是研究区主要的储集岩性,层序通过控制垂向岩性的变化进而控制了优质储层的发育;3）将白云岩发育的12个三级层序定义为"优势储集层序",加里东期构造不整合与12个"优势储集层序"耦合控制了潜山型储层规模及其产能高低;寒武系内发育以溶蚀孔隙为主的内幕型岩溶储层,亦限定发育于"优势储集层序"之中。实际勘探中,优选风化界面与"优势储集层序"耦合区域优先钻探,同时兼顾内幕型储层,其是今后该区高效勘探的关键。     

储集层中高压流体引爆强地震的机理——以5.12汶川地震为例

目前产生地震的机制仍以弹性回跳说为主:地震是因为断层错断使岩层的弹性能释放而引发。但越来越多的学者开始质疑,仅断层错断后的弹性能,是否真能达到实际地震所释放的巨大能量。因此,有必要探讨地震初动后破坏性强震的性质及其真正的能量来源。文章根据沉积地层中的储集层及其压力的特点分析得出,储集层内含有大量的高压流体,其压力在一定条件下可以释放出来,产生流体物理爆炸,有可能是强震能量的重要组成部分。通过计算得出,当断层破裂并刺穿面积较大的储集层时,其压力释放所产生的弹性能可以达到震级8.0以上地震所释放的能量;人为的工程活动也可引发小规模的流体压力的释放现象,如钻井时的井喷、水力压裂会诱发有感地震等。同时,文章根据对距离震中较近的地震台的波形及传播射线路径分析认为,强震波动可能不是横波S波,而是涨缩波P波,据此不能排除强震是由爆炸所致。综合汶川地震多个台站记录到的地震波的时间域和频率域特征、地面观测到的爆炸现象、地震后科学钻探获得的岩心等大量直接或间接证据,说明了这种流体爆炸能量释放的可能性。最后,文章提出了地震活动可分为三个阶段:微破裂阶段Ⅰ,该阶段有流体活动,并可产生动电效应,但未触发地震初动;地震初动后的断裂破裂阶段Ⅱ;由流体压力释放产生地震强震阶段Ⅲ。      

方解石与含硅流体的水-岩反应实验及其对“硅化碳酸盐岩”储层成因的启示

近年来的油气勘探表明, 含硅热液是碳酸盐岩层系中一种重要的溶蚀性流体, 查明其与碳酸盐岩的水-岩反应机理是揭示“硅化碳酸盐岩”储层发育机制并实现储层分布预测的基础和关键问题之一。文章采用熔融毛细硅管和水热反应釜为反应腔,开展了200~375℃范围内方解石和含硅流体的水岩反应实验。利用原位拉曼光谱技术在线描述反应过程中体系组成的变化,对于淬火后的固相样品,则采用扫描电镜—能谱分析进行形貌观测和成分鉴定。首先,查明了含硅流体与方解石脱碳反应发生的温度条件。方解石和含硅流体在275℃以上反应形成CO₂,固相为非硅灰石的钙硅酸盐,其结构有待进一步揭示。该结果表明单纯的硅质组分难以在储层温度条件下与灰岩发生反应;其次,提出高盐度、富CO2流体作用是造成灰岩溶蚀的重要因素;最后, CO₂的存在能够促进硅质（含石英）沉淀。在上述实验认识的基础上,结合前人研究结果探讨了塔里木盆地顺托果勒地区“硅化碳酸盐岩”储层的发育机制。含硅热液沿深大断裂上移,途径震旦系—下奥陶统白云岩层系,其中的硅质组分将与白云石反应形成富镁硅酸盐和CO₂。CO₂是重要的酸性组分,有利于鹰山组碳酸盐的溶蚀和孔隙的保存。流体温度和压力的降低以及CO₂的存在促进了石英沉淀,并形成了大量的石英晶间孔隙。     

黄河北煤田10号煤煤层气储层物性及特征研究

煤层气是一种备受国家重视和开发利用的非常规清洁能源,煤层气储层物性的研究对煤层气资源的评价与开发具有重要意义。以黄河北煤田煤层气开发资料为基础,结合区域地质特征,应用煤层气地质理论对煤田内10号煤煤层气储层物性特征进行了研究。研究发现:10号煤层宏观煤岩类型以半亮煤为主,煤中有机显微组分以镜质组为主,无机显微组分以黏土为主;煤的变质程度比较高,整体进入成熟阶段;10号煤层储层孔裂隙发育、渗透率较低;10煤层对甲烷的吸附能力较强;10号煤层储层压力为2.16~4.20MPa,压力梯度为0.418~0.797MPa/100m,为低压储层至常压储层;黄河北煤田呈单斜构造,10号煤层埋藏深度较深,含水性较好,有利于煤层气保存。     

Modeling 3D thermal fracture propagation by transient cooling using virtual multidimensional internal bonds

Thermal fracturing can play an important role in development of unconventional petroleum and geothermal resources. Thermal fractures can result from the nonlinear deformation of the rock in response to thermal stress related to cold water injection as well as heating. Before the rock reaches the final failure stage, material softening and bulk modulus degradation can cause changes in the thermo‐mechanical properties of the solid. In order to capture this aspect of the rock fracture, a virtual multidimensional internal bond‐based thermo‐mechanical model is derived to track elastic, softening, and the failure stages of the rock in response to the temporal changes of its temperature field. The variations in thermo‐mechanical properties of the rock are derived from a nonlinear constitutive model. To represent the thermo‐mechanical behavior of pre‐existing fractures, the element partition method is employed. Using the model, numerical simulation of 3D thermal fracture propagation in brittle rock is carried out. Results of numerical simulations provide evidence of model verification and illustrate nonlinear thermal response and fracture development in rock under uniform cooling. In addition, fracture coalescence in a cluster of fractures under thermal stress is illustrated, and the process of thermal fracturing from a wellbore is captured. Results underscore the importance of thermal stress in reservoir stimulation and show the effectiveness of the model to predict 3D thermal fracturing. Copyright © 2016 John Wiley & Sons, Ltd.     

Assessing the potential of reservoir outflow management to reduce sedimentation using continuous turbidity monitoring and reservoir modelling

In‐stream sensors are increasingly deployed as part of ambient water quality‐monitoring networks. Temporally dense data from these networks can be used to better understand the transport of constituents through streams, lakes or reservoirs. Data from existing, continuously recording in‐stream flow and water quality monitoring stations were coupled with the two‐dimensional hydrodynamic CE‐QUAL‐W2 model to assess the potential of altered reservoir outflow management to reduce sediment trapping in John Redmond Reservoir, located in east‐central Kansas. Monitoring stations upstream and downstream from the reservoir were used to estimate 5.6 million metric tons of sediment transported to John Redmond Reservoir from 2007 through 2010, 88% of which was trapped within the reservoir. The two‐dimensional model was used to estimate the residence time of 55 equal‐volume releases from the reservoir; sediment trapping for these releases varied from 48% to 97%. Smaller trapping efficiencies were observed when the reservoir was maintained near the normal operating capacity (relative to higher flood pool levels) and when average residence times were relatively short. An idealized, alternative outflow management scenario was constructed, which minimized reservoir elevations and the length of time water was in the reservoir, while continuing to meet downstream flood control end points identified in the reservoir water control manual. The alternative scenario is projected to reduce sediment trapping in the reservoir by approximately 3%, preventing approximately 45 000 metric tons of sediment from being deposited within the reservoir annually. This article presents an approach to quantify the potential of reservoir management using existing in‐stream data; actual management decisions need to consider the effects on other reservoir benefits, such as downstream flood control and aquatic life. Copyright © 2012 John Wiley & Sons, Ltd.     

Integration of remote sensing data into hydrological models for reservoir management

Abstract

The purpose of this paper is to present the methodology set up to derive catchment soil moisture from Earth Observation (EO) data using microwave spaceborne Synthetic Aperture Radar (SAR) images from ERS satellites and to study the improvements brought about by an assimilation of this information into hydrological models. The methodology used to derive EO data is based on the appropriate selection of land cover types for which the radar signal is mainly sensitive to soil moisture variations. Then a hydrological model is chosen, which can take advantage of the new information brought by remote sensing. The assimilation of soil moisture deduced from EO data into hydrological models is based principally on model parameter updating. The main assumption of this method is that the better the model simulates the current hydrological system, the better the following forecast will be. Another methodology used is a sequential one based on Kalman filtering. These methods have been put forward for use in the European AIMWATER project on the Seine catchment upstream of Paris (France) where dams are operated to alleviate floods in the Paris area.     

三峡水库汛期控制水位及运用条件

随着长江上游梯级水库的陆续建成投运，三峡水库的水文情势和功能需求与设计条件相比发生了显著变化，仍维持固定的汛限水位运行已不能适应新形势需求。本文通过辨析三峡水库设计阶段汛限水位的设置条件，挖掘流域洪水特性和洪水遭遇规律，论证三峡水库汛期运行水位动态控制的可行性。结果表明：① 三峡水库设计推求的汛限水位145 m的适用条件是应对流域性大洪水，而流域性洪水发生概率小且特征明显，可以通过水文水情分析提前预判。② 根据流域洪水类型、洪水分期和遭遇规律，预判发生区域性大洪水时，三峡水库6月初至梅雨期结束汛限水位按145 m设置，从梅雨期结束后逐渐提高水位，8月20日后过渡到155 m。③ 在考虑上游水库群联合调度和气象水文预报的配合下，正常年份三峡水库汛期运行水位可在155 m上下浮动，并考虑提前蓄水。④ 三峡水库汛期运行水位动态控制，不会增加防洪风险和库区淤积风险，对中下游江湖关系和水文情势有利，可显著提高发电、航运、生态保护和供水等综合利用效益。