基于地震叠后反演与属性分析的页岩气有利储层预测

中国南方页岩气勘查区块多为勘探新区,仅部署少量二维地震和地质钻井,且资料品质普遍较差,页岩气储层预测很难像成熟勘探区一样开展系统性研究工作,如何对现有数据进行充分挖掘是解决勘探新区页岩气储层预测的关键。为此,综合利用不依赖初始模型的叠后约束稀疏脉冲反演方法和多种频率类属性分析技术,开展页岩气有利储层预测。地震反演能够获得多种参数参与储层预测,属性分析能够从多种角度识别储层,通过多种信息综合应用和叠合分析以提高储层预测精确性和有效性,为新区页岩气勘探提供了一种新的思路。该项技术应用于南方某区块,圈定了页岩气的有利目标区,在该区部署的两口水平井均获得高产工业气流。     

南方公益性页岩气调查研究进展

2019—2021年期间,由中国地质调查局油气资源调查中心牵头组织实施的“南方页岩气地质调查工程”,以实现“新区、新层系、新类型、新认识”四新领域油气调查战略发现和突破,推动创建页岩气勘查开发新格局为目标,按照总体部署、分步实施、点上突破、面上评价原则,重点开展了南方复杂构造区页岩气地质调查与评价工作。圈定并优选了一批页岩气远景区和有利区,部署实施了二维地震、参数井和压裂试气工程,实现了长江上游新区新层系页岩气重大突破和发现,完成垭紫罗裂陷槽、皖江、川西南等重点地区页岩气资源潜力评价。这些成果大大提振了南方复杂构造区页岩气油气资源勘查的信心,推动了油气地质调查与科技创新的深度融合,形成了页岩气成藏理论新认识和调查评价新技术,发挥了公益性油气资源调查的引领和带动作用。     

泌阳凹陷毕店地区油藏特征浅析

泌阳凹陷毕店地区经过三十多年的勘探,一直没有取得实质性的突破。2005年以来对该区三维地震资料重新处理与解释攻关,基本具备了精细勘探的物质基础。毕店地区主体已发现的油气藏类型以断层+岩性油气藏为主。通过应用系统的研究思路,以现代石油地质理论为指导,初步探讨毕店地区油藏分布特征与油气成藏的控制作用。     

南堡油田保持中深层泥页岩井壁稳定钻井液研究

在南堡油田中深层钻井过程中,东二、东三、沙一段泥页岩的剥落掉块经常造成井壁坍塌掉块、钻具阻卡、电测遇阻等井下复杂情况。分析了中深层泥页岩的理化特性,研究探讨了泥页岩的坍塌机理。在此基础上,提出了选用强封堵抑制型钻井液是有效抑制中深层泥页岩剥落掉块的根本措施。这一研究成果对于在南堡油田中深层开发工程中提高钻速、减少井下复杂情况发生具有重要意义。     

Rock warming and drying under simulated intertidal conditions,part II: weathering and biological influences on evaporative cooling and near‐surface micro‐climatic conditions as an example of biogeomorphic ecosystem engineering

The way in which rocks and engineering materials heat‐up and dry‐out in the intertidal zone is of relevance to both weathering and ecology. These behaviours can be measured in the laboratory under controlled conditions designed to replicate those occurring in the field. Previous studies have demonstrated differences in thermal behaviours between rock types and through time as a result of soiling in terrestrial environments, but the influence of weathering and colonization on rock behaviours in the intertidal zone has not been previously assessed. We measured the warming and drying of blocks of rock (limestone and granite) and marine concrete during ‘low‐tide’ events simulated in the laboratory, before and after a period of exposure (eight months) on rock platforms in Cornwall, UK. As well as differences between the material types, temperatures of control (unexposed) and field‐exposed blocks differed in the order of 1 to 2 °C. Drying behaviours were also different after field exposure. Differences during the first few hours of exposure to air and heat were attributed to discolouration and albedo effects. Over longer periods of time, changes in the availability of near‐surface pore water as a result of micro‐scale bioerosion of limestone and the development of bio‐chemical crusts on marine concrete [observed using scanning electron microscopy (SEM)] are suggested as mechanisms enhancing and reducing, respectively, the efficiency of evaporative cooling. The retention of moisture by epilithic biofilms may also influence thermal and drying behaviours of granite. These observations represent one of the first examples of cross‐scalar biogeomorphic linkages in the intertidal zone. The significance of the results for the subsequent efficiency of weathering, and near‐surface micro‐climatic conditions experienced by colonizing organisms is discussed. The involvement of microorganisms in the creation of more (or less) ecologically stressful conditions through the alteration of substratum geomorphic properties and behaviours is suggested as an example of ‘biogeomorphic ecosystem engineering’. Copyright © 2011 John Wiley & Sons, Ltd.     

HITRAN数据库对卫星1.6 μm通道CO2辐射传输特性计算的影响

卫星遥感器中的CO21.6μm弱吸收带通道测量信号可以反映CO2的近地层浓度分布,是温室气体卫星反演的重要通道之一。HITRAN数据库是建立卫星遥感CO2浓度算法依赖的重要分子光谱参数数据库,目前已经更新到了2012版,不同版本中大气分子谱线参数存在差异。本文利用逐线积分模式LBLRTM,研究了最近3个版本HITRAN数据库(04、08、12版)在CO2的弱吸收带通道上大气光学厚度、透过率的差异,发现04版计算的气体光学厚度普遍偏高,可对CO2造成约38 ppm的低估;08版本得到的气体光学厚度与12版本接近,反演相差2 ppm以内。在此基础上,分析了不同HITRAN数据库对整层CO2变化和近地层CO2变化的敏感性,结果表明:04版对整层和近地面大气的变化敏感性最强,并且放大了近地层信号;08版与12版对整层或近地层CO2的敏感度接近,两者经过卷积后得到的信号无差异。     

自由网平差方法及统计特性新探

本文结合参数平差和主成分估计理论,导出了误差方程中含多重共线性时未知参数的求解公式,并以定理的形式,证明了主成分估计的解是极小范数解。由此,将主成分估计推广到秩亏网平差中,同时导出了未知参数估值之协因数阵的计算公式,同时,证明了自由网平差的传统特性。     

Prediction of soil properties using imaging spectroscopy: Considering fractional vegetation cover to improve accuracy

Spectroscopic techniques have become attractive to assess soil properties because they are fast, require little labor and may reduce the amount of laboratory waste produced when compared to conventional methods. Imaging spectroscopy (IS) can have further advantages compared to laboratory or field proximal spectroscopic approaches such as providing spatially continuous information with a high density. However, the accuracy of IS derived predictions decreases when the spectral mixture of soil with other targets occurs. This paper evaluates the use of spectral data obtained by an airborne hyperspectral sensor (ProSpecTIR-VS – Aisa dual sensor) for prediction of physical and chemical properties of Brazilian highly weathered soils (i.e., Oxisols). A methodology to assess the soil spectral mixture is adapted and a progressive spectral dataset selection procedure, based on bare soil fractional cover, is proposed and tested. Satisfactory performances are obtained specially for the quantification of clay, sand and CEC using airborne sensor data (R² of 0.77, 0.79 and 0.54; RPD of 2.14, 2.22 and 1.50, respectively), after spectral data selection is performed; although results obtained for laboratory data are more accurate (R² of 0.92, 0.85 and 0.75; RPD of 3.52, 2.62 and 2.04, for clay, sand and CEC, respectively). Most importantly, predictions based on airborne-derived spectra for which the bare soil fractional cover is not taken into account show considerable lower accuracy, for example for clay, sand and CEC (RPD of 1.52, 1.64 and 1.16, respectively). Therefore, hyperspectral remotely sensed data can be used to predict topsoil properties of highly weathered soils, although spectral mixture of bare soil with vegetation must be considered in order to achieve an improved prediction accuracy.     

Soil characterization based on land cover heterogeneity over a tropical landscape: an integrated approach using earth observation data-sets

Soil is a vital part of the natural environment and is always responding to changes in environmental factors, along with the influences of anthropogenic factors and land use changes. The long-term change in soil properties will result in change in soil health and fertility, and hence the soil productivity. Hence, the main aim of this paper focuses on the analysis of land use/land cover (LULC) change pattern in spatial and temporal perspective and to present its impact on soil properties in the Merawu catchment over the period of 18?years. Post classification change detection was performed to quantify the decadal changes in historical LULC over the periods of 1991, 2001 and 2009. The pixel to pixel comparison method was used to detect the LULC of the area. The key LULC types were selected for investigation of soil properties. Soil samples were analysed in situ to measure the physicochemical soil properties. The results of this study show remarkable changes in LULC in the period of 18?years. The effect of land cover change on soil properties, soil compaction and soil strength was found to be significant at a level of <0.05.