XDQ-1200型全液压轻型岩心钻机电液控制系统设计与应用

XDQ-1200型全液压轻型岩心钻机采用了电液比例控制技术,具有自动化水平高、效率高、易操作、可靠性高等优点。简要介绍了该钻机的性能特点,重点阐述了动力头回转、给进系统的液压控制原理和钻机的整体电气原理设计。生产试验表明,钻机运行良好,工作稳定,进尺速度快,操作简单,功能先进,自动化程度高。     

汉江上游晏家棚段全新世古洪水研究

通过对汉江上游详尽的野外考察,在湖北郧县晏家棚河段全新世黄土—古土壤地层中发现3层典型古洪水滞流沉积物。在沉积学的基础上,使用OSL技术断代,确定3期特大洪水事件分别在1 000~900 a BP,1 800~1 600 a BP和3 200~2 800 a BP期间发生。采用"古洪水SWD尖灭点高程法"确定这3期古洪水事件的洪峰水位介于176.20~176.73 m。运用Arc GIS耦合HEC-RAS水力模型,推求这3期古洪水事件的洪峰流量介于53 770~55 950 m3/s,并从多种角度验证了该模型计算结果的科学性和合理性。将此结果与实测洪水和历史洪水资料接续,构成万年尺度洪水水文数据序列,得到汉江上游晏家棚河段万年一遇和千年一遇洪水的流量分别为59 100和45 200m3/s。采用HEC-RAS模型对研究河段进行古洪水模拟,方法科学,结果可靠。将该河段洪水水文数据序列有效地延长到万年尺度,极大地提高了设计洪水的可靠性。     

帽峰山地区典型小流域主要森林类型土壤渗透性

采集帽峰山地区典型小流域主要林地类型(青冈林、毛竹林、凤尾竹林、桉树林)原状土样进行土壤剖面(0~20 cm、20~40 cm、40~60 cm)渗透系数及其相关因子的实验研究,结果表明:各种林地类型土壤渗透系数在剖面上均表现出从上到下递减的特点,毛竹、青冈、凤尾竹、桉树林的土壤剖面渗透系数变化范围分别为13.64~4.91、10.49~3.63、8.16~2.96、7.92~3.71 m/d。由于20~40 cm、40~60 cm土层渗透系数差异性相对较小,土壤渗透性剖面可简化为上、下两个亚层,上部亚层渗透系数是下部亚层的1.89~2.42倍。各种林地类型土壤渗透系数与孔隙度、根密度呈正相关,与干容重呈负相关,与根径关系相关性方向具有不确定性。不同林地类型土壤渗透系数与干容重、根密度、根径之间的相关程度存在较大差异,但均表现出与孔隙度之间存在良好相关性。     

Investigation of hydraulic fracturing operation and fracture propagation simulation in reservoir rock

For many decades most oil wells in Iran have produced using their natural flow potential and haven’t needed to be fractured. As time goes by, the reservoir pressure depletes and the need for hydraulic fracturing as a stimulation practice arises. Nonetheless there is no record of successful hydraulic fracturing in Iran.

The Bangestan reservoir with a suitable amount of oil in place and good rock reservoirs, has been selected for the present research work. In this work, the in situ stress profile was calculated by using the available petrophysical data. This is achieved by using poroelastic theory for the stresses, and the Mohr–Coulomb criterion to predict failure. The model leads to easily computed expressions for calculating the pressure required to maintain hydraulic fracturing. Then the appropriate depth for treatment was determined. The results indicate that Ilam and Sarvak formations could be good candidates for hydraulic fracturing. Then, for two layers, a hydraulic fracture was designed and the production was predicted and the Net Present Value (NPV) resulting from the fracture of both layers was investigated.     

Geostatistical analysis and conditional simulation for estimating the spatial variability of hydraulic conductivity in the Choushui River alluvial fan,Taiwan

This work evaluated the spatial variability and distribution of heterogeneous hydraulic conductivity (K) in the Choushui River alluvial fan in Taiwan, using ordinary kriging (OK) and mean and individual sequential Gaussian simulations (SGS). A baseline flow model constructed by upscaling parameters was inversely calibrated to determine the pumping and recharge rates. Simulated heads using different K realizations were then compared with historically measured heads. A global/local simulated error between simulated and measured heads was analysed to assess the different spatial variabilities of various estimated K distributions. The results of a MODFLOW simulation indicate that the OK realization had the smallest sum of absolute mean simulation errors (SAMSE) and the SGS realizations preserved the spatial variability of the measured K fields. Moreover, the SAMSE increases as the spatial variability of the K field increases. The OK realization yields small local simulation errors in the measured K field of moderate magnitude, whereas the SGS realizations have small local simulation errors in the measured K fields, with high and low values. The OK realization of K can be applied to perform a deterministic inverse calibration. The mean SGS method is suggested for constructing a K field when the application focuses on extreme values of estimated parameters and small calibration errors, such as in a simulation of contaminant transport in heterogeneous aquifers. The individual SGS realization is useful in stochastically assessing the spatial uncertainty of highly heterogeneous aquifers. Copyright © 2004 John Wiley & Sons, Ltd.     

Spatial averaging of hydraulic conductivity under radial flow conditions

Steady-state radial flow in three-dimensional heterogeneous media is investigated using a geostatistical approach. The goal of the study is to develop a model of the relationship between corescale hydraulic conductivities measured at the wellbore and the conductivity of the surrounding drainage region as measured by a larger scale flow experiment such as a pump test. Conductivity at the point or core-scale is modeled as a stationary and multivariate lognormal spatial random function. Conductivity of the drainage region is obtained by a weighted nonlinear spatial average over the point-scale values within. This empirical spatial averaging process is shown to yield excellent approximations of true effective drainage region conductivities calculated using a numerical flow model. The geostatistical model for point-scale conductivity and the spatial averaging process are used to determine the first and second order ensemble moments of drainage region conductivity. In particular, an expression is derived for the conditional expectation of drainage region conductivity given point-scale values measured at the wellbore. The results are illustrated in a case study of a well from a sandstone oil reservoir where both core and transient-test conductivity data from the same interval are available for comparison.     

Studies on turbulent diffusion processes and evaluation of diffusivity values from hydrodynamic observations in Corpus Christi Bay

The physical process of dispersion which can be attributed to turbulence (turbulent diffusion) or shear (shear-augmented diffusion) within the flow field is very important as it ultimately governs the distribution of constituents of interest within the environment. A series of diffusion experiments were conducted in Corpus Christi Bay, TX with the purpose of characterizing turbulent diffusion through dispersion coefficients or turbulent diffusivity, K_i (i=x, y, z) dependent on the degree of randomness or turbulence intensity, I.Measured with a boat-mounted acoustic doppler current profiler (ADCP), the Eulerian velocity time-series of fluid particles in random motion, u_i was used in the evaluation of the Eulerian time-scale of turbulence, T^E based on the velocity correlation function, R^E with T^E being related to the Lagrangian time-scale T^L through a scaling parameter, β(=T^L/T^E). Surface currents were obtained with high frequency (HF) Radar equipment deployed over the study area from which the horizontal velocity gradients were determined.Within the spatial scale of the experiment (1000 m), the observed low horizontal gradients (10⁻⁴ s⁻¹) allowed for the generation of velocity time-series from an ADCP mounted on a moving platform. A numerical scheme for evaluating turbulent diffusivity values was developed on the basis of Eulerian current measurements and calibrated through the statistics of an evolving dye patch for the scaling parameter β which in this scheme was found to be in the range 1–3.