塔河油田碳酸盐岩缝洞型油气藏的特征及缝洞单元划分

塔河油田奥陶系碳酸盐岩缝洞型油气藏的主要特征表现为油气藏高度远大于残丘圈闭幅度,油气分布受储集体发育程度控制,纵向上不连续,储集体主要为岩溶-构造作用所形成的缝洞,单个缝洞储集体为独立的油水系统等。运用油藏压力降落法、类干扰试井法和流体性质变化法等方法将塔河油田主体开发区划分出10个连通储渗单元和20个孤立或相对定容封闭体,对这些缝洞单元的特点作了描述。塔河油田整体上不具统一的底水;各油气藏流体性质变化较大。     

Deep neural network application for 4D seismic inversion to changes in pressure and saturation: Optimizing the use of synthetic training datasets

In this work, we tackle the challenge of quantitative estimation of reservoir dynamic property variations during a period of production, directly from four-dimensional seismic data in the amplitude domain. We employ a deep neural network to invert four-dimensional seismic amplitude maps to the simultaneous changes in pressure, water and gas saturations. The method is applied to a real field data case, where, as is common in such applications, the data measured at the wells are insufficient for properly training deep neural networks, thus, the network is trained on synthetic data. Training on synthetic data offers much freedom in designing a training dataset, therefore, it is important to understand the impact of the data distribution on the inversion results. To define the best way to construct a synthetic training dataset, we perform a study on four different approaches to populating the training set making remarks on data sizes, network generality and the impact of physics-based constraints. Using the results of a reservoir simulation model to populate our training datasets, we demonstrate the benefits of restricting training samples to fluid flow consistent combinations in the dynamic reservoir property domain. With this the network learns the physical correlations present in the training set, incorporating this information into the inference process, which allows it to make inferences on properties to which the seismic data are most uncertain. Additionally, we demonstrate the importance of applying regularization techniques such as adding noise to the synthetic data for training and show a possibility of estimating uncertainties in the inversion results by training multiple networks.     

Vertical distribution of the dominant planktonic crustaceans in a mesotrophic reservoir, Xujiahe reservoir (central China)

The day and night vertical distributions of the dominant planktonic crustaceans in Xujiahe Reservoir were investigated on July 7, 1998. Sampling was carried out at Station D in the upstream region, Doupuohe, and Stations LI and LII in the downstream region, Lujiaodao. At Station D and Station LI, Leptodora kindti showed diel vertical migrations. In Daphnia galeata and Diaphanosoma dubia a limited reverse diel vertical migration was found at Station D, and large individuals tended to stay in lower layers during the day. Neutrodiaptomus incongruens seemed to avoid the water column of 0–6 m by day, but a detectable proportion of the population moved upwards at night. Mesocyclops thermocyclopoides showed a clearly defined diel vertical migration behavior at all three stations. The vertical distribution of Thermocyclops crassus was similar at different stations: in daylight hours it was found almost exclusively in the water column below 6 m and during the night a significant proportion of the population shifted upwards.     

渤海湾盆地埕岛油田缝洞型潜山油气藏构造及储层特征

埕岛油田古潜山油气藏为典型的缝洞型碳酸盐岩油气藏。埕岛地区经历了多期次的构造运动,并经受了多期次的断裂与剥蚀作用,为油气成藏创造了良好条件。埕岛油田古潜山可以划分为三个构造单元,即埕北20断层下降盘的西排山,上升盘的中排山和东排山,三个潜山带成帚状敛于凸起最南端,为几个二级构造单元交汇处,构造应力较发育。埕岛油田有三种储集空间类型:晶间孔隙、溶蚀孔洞和裂缝。     

On the land use in Three Gorges Reservoir area

In this study the arable land changes in two counties (Zigui and Xingshan) in the Three Gorges Reservoir area in China are investigated. The statistical data from the officially published statistical books are used to study these changes in the two counties during the past 50 years since 1949. The changes of arable land, changes of arable land per capita, and changes of multiple crop index in Zigui and Xingshan counties are examined. Using an index method, we conclude that the two counties are critical in the sustainable utilization of arable land.     

基于地面三维激光扫描的三峡库区危岩体监测

三峡水库周期性蓄水改变了岸坡内的地下水渗流场和应力场,降低岩土体的剪切强度,对库岸边坡、岩体稳定性影响很大。以往库区岸坡岩体形变监测主要通过设置固定点进行观测,难以发现岩体整体变化情况。地面三维激光扫描方法能获取岩体整体表面厘米精度的点云数据,具有无需接触目标、获取速度快、精度高等特点,非常适合库区高陡危岩体表面三维形变监测。以巫山箭穿洞危岩体为例,采用地面三维激光扫描方法对箭穿洞危岩体进行了为期2年（2017—2018年）共3期监测,以第一期观测目标周围稳定岩体数据为基准,对数据进行重叠点云迭代配准,点云配准精度优于±2.7 cm。针对箭穿洞危岩体在观测时段内的变化情况,构建危岩体区域的基准不规则三角网模型,以点到基准面最近距离法结合危岩体变化区间分析其变形。通过对比分析箭穿洞危岩体3期观测数据,发现相对于2017年,2018年箭穿洞危岩体左侧岩体有变形趋势;在库区蓄水阶段,危岩体局部多处存在明显凹陷变化,局部因蓄水影响发生约−0.03～−0.07 m变形。结果证明三维激光扫描技术在库岸高陡边坡形变监测中的有效性,为三峡库区高陡危岩体形变监测及地质灾害防治工作提供了参考。     

NUMERICAL SIMULATION OF TURBIDITY CURRENT IN RESERVOIR

I. INTRODUCTIONWhen a sediment--laden flow reaches the backwater zone of a reservoir, the suddenreduction of flow velocity causes sediment particles to settle toward the river bed. Undercertain circumstsnces, it will plunge and form a layer of sediment--water mixture flowingbeneath the water surface. This flowing layer is called the turbidity current. A turbiditycurrent is relatively stable and has important impacts on reservoir sedimentation.In the case of deep reservoirs, due to temper…     

基于GIS的黄河上游龙羊峡库区生态环境遥感监测研究

本项研究以黄河上游生态环境严重退化的龙羊峡库区为研究区，应用遥感与GIS一体化的方法，建立了库区生态环境动态监测信息系统。在系统的支持下，利用多时相、多波段TM遥感数据，对库区近十年来生态环境变化进行监测分析，揭示了库区土地沙漠化、水土流失、土地利用／土地覆盖的现状，以及建库近十年来生态环境时空演化的过程与发展趋势，为库区生态环境治理提供科学依据。本项研究利用遥感和GIS技术，采用生态环境综合分类系统，在一次分类处理中通过多层次不同级别的组合获得了基于同一信息源的土地沙漠化、草场盖度、土地利用处地覆盖等多种环境类型信息，并利用环境信息模型对库区的土壤侵蚀进行了评价。基于GIS的分类后再处理使遥感分类精度有了一定程度的提高。研究表明，在GIS的支持下充分利用遥感信息监测与评价生态环境，是区域生态环境定量化研究的有效途径。     

油气资源评价的多参数约束改进油气田(藏)规模序列法及其应用

油气田(藏)规模序列法是油气资源评价常用的方法之一,其优点是不但可以给出总的资源量,而且还可以给出各油气田(藏)的规模和序列,不足是其预测结果带有多解性。在多年的资评工作中,形成了一套求取规模序列中关键参数的科学方法:依据其他方法(成因法等)求取的资源量来约束规模序列法求取的地质资源量;依据高勘探区地质资源量与最大单一油气田(藏)规模统计关系来约束评价区最大单一油气田(藏)规模;根据预测单元可能存在的圈闭数(包含隐蔽圈闭)来限制预测的油气田(藏)个数。通过采用总量约束、最大单一规模约束和油气田(藏)个数约束,获得的结果克服了原方法存在的一些问题,使评价结果更科学,更符合地质实际。以该方法在黄河口凹陷等地区的应用实例证明了评价结果与勘探认识吻合较好。     

Feasibility of borehole ambient noise interferometry for permanent reservoir monitoring

The analysis of seismic ambient noise acquired during temporary or permanent microseismic monitoring campaigns (e.g., improved/enhanced oil recovery monitoring, surveillance of induced seismicity) is potentially well suited for time‐lapse studies based on seismic interferometry. No additional data acquisition required, ambient noise processing can be automatized to a high degree, and seismic interferometry is very sensitive to small medium changes. Thus there is an opportunity for detection and monitoring of velocity variations in a reservoir at negligible additional cost and effort. Data and results are presented from an ambient noise interferometry study applied to two wells in a producing oil field in Romania. Borehole microseismic monitoring on three component geophones was performed for four weeks, concurrent with a water‐flooding phase for improved oil recovery from a reservoir in ca. 1 km depth. Both low‐frequency (2 Hz–50 Hz) P‐ and S‐waves propagating through the vertical borehole arrays were reconstructed from ambient noise by the virtual source method. The obtained interferograms clearly indicate an origin of the ambient seismic energy from above the arrays, thus suggesting surface activities as sources. It is shown that ambient noise from time periods as short as 30 seconds is sufficient to obtain robust interferograms. Sonic log data confirm that the vertical and horizontal components comprise first arrivals of P‐wave and S‐waves, respectively. The consistency and high quality of the interferograms throughout the entire observation period further indicate that the high‐frequency part (up to 100 Hz) represents the scattered wave field. The temporal variation of apparent velocities based on first‐arrival times partly correlates with the water injection rate and occurrence of microseismic events. It is concluded that borehole ambient noise interferometry in production settings is a potentially useful method for permanent reservoir monitoring due to its high sensitivity and robustness.