Critical conditions for natural gas charging and delineation of effective gas source rocks for tight sandstone reservoirs

Although it has been shown that the potential of tight‐sand gas resources is large, the research into the mechanisms of hydrocarbon charging of tight sandstone reservoirs has been relatively sparse. Researchers have found that there is a force balance during hydrocarbon charging, but discriminant models still have not been established. Based on the force balance conditions observed during gas migration from source rocks to tight sandstone reservoirs, a calculation formula was established. A formula for identifying effective source rocks was developed with the gas expulsion intensity as the discrimination parameter. The critical gas expulsion intensity under conditions of various burial depths, temperatures, and pressures can be obtained using the calculation formula. This method was applied in the Jurassic tight sandstone reservoirs of the eastern Kuqa Depression, Tarim Basin, and it was calculated that the critical expulsion intensity range from 6.05 × 10⁸ m³/km² to 10.07 × 10⁸ m³/km². The critical gas charging force first increases with depth and later decreases with greater depths. The distribution range of effective gas source rocks and total expelled gas volume can be determined based on this threshold. This method provides new insight into and method for predicting favourable tight‐sand gas‐bearing regions and estimating their resource potentials. Copyright © 2014 John Wiley & Sons, Ltd.     

Hydrocarbon generation and expulsion characteristics of Lower Permian P1f source rocks in the Fengcheng area,northwest margin,Junggar Basin,NW China: implications for tight oil accumulation potential assessment

Combined with the actual geological settings, tight oil is the oil that occurs in shale or tight reservoirs, which has permeability less than 1 mD and is interbedded with or close to shale, including tight dolomitic oil and shale oil. The Fengcheng area (FA), at the northwest margin of the Junggar Basin, northwest China, has made significant progress in the tight oil exploration of the Fengcheng (P₁f) Formation recently, which indicates that the tight oil resources have good exploration prospects. Whereas the lack of recognition of hydrocarbon generation and expulsion characteristics of Permian P₁f source rocks results in the misunderstanding of tight oil resource potential. Based on the comprehensive analysis of geological and geochemical characteristics of wells, seismic inversion, sedimentary facies, tectonic burial depth, etc., the characteristics of P₁f source rocks were investigated, and the horizontal distributions of the following aspects were predicted: the thickness of source rocks, abundance and type of organic matter. And on this basis, an improved hydrocarbon generation potential methodology together with basin simulation techniques was applied to unravel the petroleum generation and expulsion characteristics of P₁f source rocks in FA. Results show that the P₁f source rocks distribute widely (up to 2039 km²), are thick (up to 260 m), have high total organic content (TOC, ranging from 0.15 to 4 wt%), are dominated by type II kerogen and have entered into low mature–mature stage. The modeling results indicate that the source rocks reached hydrocarbon generation threshold and hydrocarbon expulsion threshold at 0.5% Ro and 0.85% Ro and the comprehensive hydrocarbon expulsion efficiency was about 46%. The amount of generation and expulsion from the P₁f source rocks was 31.85 × 10⁸ and 15.31 × 10⁸ t, respectively, with a residual amount of 16.54 × 10⁸ t within the source rocks. Volumetrically, the geological resource of shale oil is up to 15.65 × 10⁸ t. Small differences between the amounts calculated by the volumetric method compared with that by hydrocarbon generation potential methodology may be due to other oil accumulations present within interbedded sands associated with the oil shales. Copyright © 2015 John Wiley & Sons, Ltd.     

气象无线传感网观测节点的设计与实现

针对传统自动气象站对电力和通讯基础设施依赖性强,应用环境受到限制的问题,设计并实现了一种基于无线传感器网络的气象观测节点。气象观测节点的硬件系统以CC2530芯片为核心,使用锂电池供电,通过模拟和数字接口连接气象传感器,射频部分工作在2.4 GHz。软件系统以TinyOS操作系统为基础,开发了基于LEPS协议的多跳路由协议和气象传感器驱动程序。在野外环境中对气象观测节点的功耗、通信距离、传感器及组网性能进行了测试。测试结果表明,气象观测节点在没有电力和通信基础设施的环境中能够形成一个稳定的多跳自组织数据采集与传输网络,适合在高山、海岛、沙漠等艰苦地区进行部署和应用。     

基于ForcTT模型的牡丹始花期预测

选取山东菏泽市1981—2010年的牡丹始花期资料和气象资料,应用气候倾向率和Mann Kendall突变法等统计分析法探讨了牡丹始花期与气象条件的关系,利用ForcTT模型模拟了牡丹的始花期。结果表明：①随着气候变暖,菏泽牡丹始花期以4.4 d/10a的趋势逐年提前,并在1996年发生了一次突变。1981—1996年牡丹始花期主要集中在4月下旬,处于偏晚时期,1997—2010年始花期主要集中在4月中旬,有所提前。②牡丹花期发生的早晚主要受牡丹开花前1个月（3月）平均气温的影响,而且牡丹始花期和3月份平均气温的突变节点一致,其次是2月平均气温的影响,3月仅日照时数对牡丹花期有一定的影响,降水对牡丹花期无明显影响。③采用ForcTT模型预测牡丹的开花期时,最佳的开始日期为2月1日,最佳的基础温度为1 ℃时,平均误差为1.29天,最小偏差为1.73天,而当开始日期为2月1日,基础温度为3 ℃时的平均偏差和最小偏差均在2天之内,也再次验证了2月和3月的气温对牡丹始花期的影响较大。     

山东半岛南部一次沿海强降雨成因分析

利用常规气象观测资料、区域自动站观测资料、NCEP/NCAR 1°×1°再分析资料和雷达探测等资料,对2012年9月21日山东半岛南部沿海强降雨过程的成因进行了天气学诊断分析,结果表明:1强降雨是在500hPa第1个西风槽过后第2个西风槽逼近的过程中产生的,850hPa以下为偏南的向岸风,且风速随时间增大,形成偏南的超低空急流,持续地向沿海输送水汽和能量,造成水汽辐合、湿度增大、对流有效位能升高。产生强降雨的水汽和不稳定能量条件远小于内陆地区。2在向岸的超低空急流的左侧产生中小尺度的涡旋和辐合上升,海岸地形抬升作用使得上升运动加强,触发对流不稳定能量释放,造成强降水。3在雷达回波中,小尺度的对流单体沿海岸线向西南方向发展,后期在日照附近的沿海形成弓状回波,向东南海区移动。     

南京市降水化学特征及其来源研究

为了解南京江北地区降水化学特征,分析了2011年3—6月共25个降水日的109个降水样品中的主要水溶性离子,并利用后向轨迹模式探讨了降水气团来源.结果表明:1)南京地区3—6月降水主要受南、北2种气团影响,北方气团降水的主要离子浓度高于南方气团降水.2)海盐示踪法和相关性分析显示,降水中NO₃^-和SO₄^2-主要来自燃煤、工业排放和汽车尾气;Ca²⁺主要来自地壳源;Cl^-主要来自海洋;海洋源和陆源对Mg²⁺和K⁺都有贡献,Mg²⁺的陆源贡献大于海洋源贡献,K⁺受海洋源的影响程度要低于Mg²⁺.3)南、北气团初期降水的各离子浓度高于总降水的各离子浓度,且初期降水的主要离子的富集系数高于总降水.这说明在降水初始阶段,雨水对南京大气中污染物(气态污染物和颗粒物)的云下冲刷去除作用较强,降水的离子浓度最高,局地源对降水离子的贡献较明显.     

基于模糊逻辑的大气云粒子相态反演和效果分析

为了探究8mm云雷达探测到的大气云粒子相态特征,根据Shupe总结得到云雷达探测参量:反射率因子、Doppler径向速度、线性退偏振比以及温度在不同相态水凝物对应的云雷达产品特征阈值,采用不对称T型的隶属函数,成员函数包括:反射率因子、线性退偏振比、径向速度以及垂直温度廓线,反演出的粒子相态包括:雪、冰晶、混合相态、液水、毛毛雨、雨等6种。通过联合分析中国气象科学研究院灾害天气国家重点实验室的偏振云雷达探测资料和GTS1型探空仪温度数据,结果表明;通过模糊逻辑法对云雷达探测的参量反演出的大气粒子相态结果与探空实时数据一致性较好,对现阶段常规天气预报参考、人工影响天气作业指挥以及效果评估来说具有较好指导性。     

基于作物系数与水分生产函数的向日葵产量预测

利用河套灌区向日葵2012年田间水分、分期播种试验数据和两个站点的农业气象历史资料,研究基于向日葵作物系数和水分生产函数的产量预测方法。结果表明:向日葵标准作物系数在生育期内的变化规律是前期小、中期大、后期小, 最高值为1.21, 出现在开花期。标准作物系数与出苗后日数和大于0℃积温有很好的二次和三次多项式关系,拟合优度在0.93以上。在分析相对叶面积指数和作物系数关系的基础上,提出标准作物系数的相对叶面积指数订正方法,得出河套灌区向日葵作物系数的动态计算式,为水分生产函数中实际蒸散量的计算提供支撑。建立以Jensen模型为基础的向日葵水分生产函数,得到对水分亏缺的敏感顺序从高到低是开花期、花序形成期、成熟期、苗期。综合应用向日葵作物系数方程和水分生产函数模型计算分期播种产量,与实际产量分别相差4.4%和4.1%,初步证明该文提出的方法对产量预测较为理想,在该地区具有很好的适用性。