The application of rapid potential field methods for the targeting of IOCG mineralisation based on physical property data,Great Bear magmatic zone,Canada

New techniques for the integration of gravity and aeromagnetic data through rock physical property relationships are tested for the rapid location of potential iron oxide–copper–gold (IOCG) exploration targets across the Great Bear magmatic zone (GBMZ). These techniques are based on the recognition of coincident or near-offset magnetic and gravity anomalies associated with IOCG deposits, resulting from their intense and combined iron-oxide and alkali alteration. In the GBMZ, the NICO (Au–Co–Bi–Cu) deposit is an atypical magnetite-group IOCG hosted within an intensely hydrothermally-altered metasedimentary sequence. Prospectivity maps for the NICO area are derived from the integration of high-resolution aeromagnetic and surface gravity data with physical property measurements of magnetic susceptibility and density. Method 1 combines the pseudo-gravity (derived from the aeromagnetic data) and Bouguer gravity data to determine the locations of superimposed high anomalies. Method 2 estimates the apparent susceptibility and density subsurface distribution based on vertical prism models of the magnetic and gravity data. The apparent susceptibility data are transformed to apparent density using physical property relationships. The two apparent density datasets are then combined to determine the location of coincident magnetic and gravity derived anomalies. The results of these methods are supported by, and compared with, similar prospectivity maps generated through weights of evidence techniques. At NICO, the prospectivity maps accurately locate the deposit and nearby occurrences. Despite the lower resolution of the regional gravity data, application of the techniques across the GBMZ is successful at locating mineralised IOCG systems including the magnetite-group systems at Grouard, Fab, DeVries and Cole Lake, the magnetite to hematite-group systems of the Port Radium-Echo Bay district, and has highlighted possible targets for future exploration.     

重震反演中国东北地壳上地幔三维密度结构

本文利用重力和地震P波到时数据反演得到了中国东北地区地壳上地幔三维密度结构.与单一的重力或地震反演相比,重震反演一方面有效地克服了重力反演结果垂向分辨率低的问题,另一方面也提高了地震反演结果的可靠性.结果显示:中国东北地区的地壳及上地幔剩余密度异常分布与构造单元具有明显的相关性,造山带对应低密度异常,盆地对应高密度异常;区域内火山下方有明显的低密度体存在,可能是由于太平洋板块俯冲进入上地幔并部分滞留,在滞留板块深部脱水和软流圈热物质共同作用下产生了上涌岩浆,喷发后形成了火山.     

The inversion of density structure by graphic processing unit (GPU) and identification of igneous rocks in Xisha area

Organic reefs, the targets of deep-water petroleum exploration, developed widely in Xisha area. However, there are concealed igneous rocks undersea, to which organic rocks have nearly equal wave impedance. So the igneous rocks have become interference for future exploration by having similar seismic reflection characteristics. Yet, the density and magnetism of organic reefs are very different from igneous rocks. It has obvious advantages to identify organic reefs and igneous rocks by gravity and magnetic data. At first, frequency decomposition was applied to the free-air gravity anomaly in Xisha area to obtain the 2D subdivision of the gravity anomaly and magnetic anomaly in the vertical direction. Thus, the distribution of igneous rocks in the horizontal direction can be acquired according to high-frequency field, low-frequency field, and its physical properties. Then, 3D forward modeling of gravitational field was carried out to establish the density model of this area by reference to physical properties of rocks based on former researches. Furthermore, 3D inversion of gravity anomaly by genetic algorithm method of the graphic processing unit (GPU) parallel processing in Xisha target area was applied, and 3D density structure of this area was obtained. By this way, we can confine the igneous rocks to the certain depth according to the density of the igneous rocks. The frequency decomposition and 3D inversion of gravity anomaly by genetic algorithm method of the GPU parallel processing proved to be a useful method for recognizing igneous rocks to its 3D geological position. So organic reefs and igneous rocks can be identified, which provide a prescient information for further exploration.     

The inversion of density structure by graphic processing unit （GPU） and identification of igneous rocks in Xisha area

Organic reefs, the targets of deep-water petroleum exploration, developed widely in Xisha area. However, there are concealed igneous rocks undersea, to which organic rocks have nearly equal wave impedance. So the igneous rocks have become interference for future exploration by having similar seismic reflection characteristics. Yet, the density and magnetism of organic reefs are very different from igneous rocks. It has obvious advantages to identify organic reefs and igneous rocks by gravity and magnetic data. At first, frequency decomposition was applied to the free-air gravity anomaly in Xisha area to obtain the 2D subdivision of the gravity anomaly and magnetic anomaly in the vertical direction. Thus, the distribution of igneous rocks in the horizontal direction can be acquired according to high-frequency field, low-frequency field, and its physical properties. Then, 3D forward modeling of gravitational field was carried out to establish the density model of this area by reference to physical properties of rocks based on former researches. Furthermore, 3D inversion of gravity anomaly by genetic algorithm method of the graphic processing unit(GPU) parallel processing in Xisha target area was applied, and 3D density structure of this area was obtained. By this way, we can confine the igneous rocks to the certain depth according to the density of the igneous rocks. The frequency decomposition and 3D inversion of gravity anomaly by genetic algorithm method of the GPU parallel processing proved to be a useful method for recognizing igneous rocks to its 3D geological position. So organic reefs and igneous rocks can be identified, which provide a prescient information for further exploration.     

基于地质体空间位置优化约束的航空重力梯度数据三维物性反演

重力数据的物性反演面临着严重的多解性问题,降低多解性的有效手段是加入约束条件.而边界识别、深度估计及成像方法可获取地质体的水平位置、深度范围等几何参数信息,本文将基于数据本身挖掘的地质体几何参数信息约束到物性反演中,以降低反演的多解性.通过引入基于深度信息的深度加权函数及基于水平位置的水平梯度加权函数建立优化约束条件,有效地提高了反演结果的横向及纵向分辨率.重力梯度数据包含更多的地质体空间特征信息,将优化约束反演方法应用到全张量数据的反演中,模型试验表明本文方法反演结果与理论模型更加吻合.最后对美国路易斯安那州文顿盐丘实测航空重力梯度数据的应用表明,本文方法在其他地球物理、地质资料不足的情况下获得更可靠的反演结果.     

基于密度模型稀疏表征的重力反演方法

重力反演是恢复地下密度空间分布的有效工具,而选择合理的密度模型约束方法是提升重力反演分辨率和可靠性的关键.常规约束方法大多是从剖分网格空间中的密度模型出发,通过调整光滑或稀疏约束权重来匹配反演目标,但当地质体类型多样、异常分离不准确及网格剖分方案不合理时,模型约束的合理性与灵活性难以得到有效保证.为此,本文提出了一种基...     

位场垂向梯度最佳自比值的边界检测技术

位场梯度换算在地质体边界检测中有着重要的应用.但传统的梯度算法易受干扰影响,计算稳定性差,且很难在复杂的叠加异常中识别出小型地质体的边界.鉴于此,本文给出了自比值的定义,提出了能够处理高阶导数的位场垂向梯度最佳自比值的边界检测方法,阐述了方法的数学含义和物理意义.模型试验表明,垂向梯度最佳自比值算法不仅计算稳定性强,而且能清晰地检测出传统梯度算法无法检测的模型体边界.在地质条件复杂的鸭绿江盆地的重力异常实例应用中,垂向三阶导数最佳自比值计算结果识别出的构造边界与实际地质体分布有着较好的对应关系,这不但与前人的工作成果互为佐证,而且自比值圈定的负异常分布区能较好地反映出浑江煤田的工作范围.     

A Coastal Aquifer Study Using Magnetotelluric and Gravity Methods in Abo Zenema, Egypt

Magnetotelluric (MT) soundings and gravity methods were employed to study the deep freshwater aquifer in the area north of Abo Zenema city on the eastern side of the Gulf of Suez, Egypt. Seven MT sites and 48 gravity stations were surveyed along northeast–southwest profiles as close as possible to a line perpendicular to the coast of the Gulf of Suez. The MT survey was conducted using high and low frequencies to investigate shallow and deep areas, respectively. One-dimensional inversion was conducted using a heuristic inversion scheme of the Bostick algorithm. The MT data were also inverted with a 2-D smooth model inversion routine using the nonlinear conjugate gradient method to infer variation in vertical and lateral resistivity inside the Earth. A 100-Ohm-m homogeneous half-space initial model was used to invert the TE mode data only. Then, the inverted model obtained from the TE mode data was used as an initial model for inversion of the TM mode data. The inverted model thus obtained from the TM mode data inversion was used as an initial model for the inversion of the joint TE and TM responses. Two-dimensional (2-D) forward modeling of the gravity data was conducted using the 2-D polygon method of Talwani’s algorithm for an arbitrarily shaped body and was based on the subsurface information from the MT survey and the available information about the geological structure of the study area. This method enabled us to obtain the basement structure of the coastal aquifer in the study area. The results from the analysis and the interpretation of MT and gravity data were used to detect and delineate the groundwater coastal aquifer in the study area.     

基于实测重力异常和地形数据确定重力梯度的研究

本文利用澳大利亚北领地West Arnhem Land 地区实测重力异常数据并联合DEM(9")和SRTM3(3")地形高程数据,使用移去-恢复技术和Stokes积分方法计算了该地区两条剖面的重力梯度及其功率谱密度,使用FFT方法解算了整个地区的重力梯度值,结果证明了联合重力异常数据和高分辨率地形高程数据能有效地提高重力梯度的解算精度;功率谱密度的计算结果与国外成熟的重力梯度功率谱密度模型相吻合,表明高于0.3 Hz频率范围的功率谱密度可看做噪声,为重力梯度数据处理中噪声的辨别和剔除提供了借鉴,另外对重力梯度辅助导航基准图的构建以及重力梯度测量系统的标定提供了有益的探索.     

基于Lp范数稀疏优化算法的重力三维反演

三维密度反演已经成为重力数据定量解释的常规方法,但由于重力数据本身并没有深度分辨率,为了减少由此引起的重力反演的非唯一性,常用的手段是引入额外的先验信息.本文提出了一种重力三维稀疏反演（以下简称稀疏反演）方法,该方法通过求解物性上下界约束时的L_p范数（0 ≤ p ≤ 1）稀疏优化问题,来获得具有尖锐边界的解.与传统的L₂范数反演方法相比,稀疏反演方法可以更加有效地利用已知的物性信息,获得深度分辨率更高的反演结果.此外,我们也分析了稀疏反演方法与二值、三值反演算法的等价性以及在实际应用中需要注意的问题.最后,通过模型试验以及矿区实测数据反演验证了稀疏反演方法的有效性.     

The distribution of deep source rocks in the GS Sag: joint MT–gravity modeling and constrained inversion

The coal-bearing strata of the deep Upper Paleozoic in the GS Sag have high hydrocarbon potential. Because of the absence of seismic data, we use electromagnetic (MT) and gravity data jointly to delineate the distribution of deep targets based on well logging and geological data. First, a preliminary geological model is established by using three-dimensional (3D) MT inversion results. Second, using the formation density and gravity anomalies, the preliminary geological model is modified by interactive inversion of the gravity data. Then, we conduct MT-constrained inversion based on the modified model to obtain an optimal geological model until the deviations at all stations are minimized. Finally, the geological model and a seismic profile in the middle of the sag is analysed. We determine that the deep reflections of the seismic profile correspond to the Upper Paleozoic that reaches thickness up to 800 m. The processing of field data suggests that the joint MT–gravity modeling and constrained inversion can reduce the multiple solutions for single geophysical data and thus improve the recognition of deep formations. The MT-constrained inversion is consistent with the geological features in the seismic section. This suggests that the joint MT and gravity modeling and constrained inversion can be used to delineate deep targets in similar basins.     

重力异常场空间-波数混合域三维数值模拟

重力勘探中复杂条件下的三维正演计算量大存储要求高,使得这种条件下重力勘探高效、精细正反演变得困难.针对这一问题,提出一种空间-波数混合域数值模拟方法,该方法将空间域引力位积分进行水平方向二维傅里叶变换,将三维空间域卷积问题转换为多个不同波数之间相互独立的空间垂向一维积分问题,一维积分垂向可离散为多个单元积分之和,每个单元采用二次形函数表征密度变化,可得出单元积分的解析表达式.该方法计算量和存储需求少,算法高度并行;保留垂向为空间域,优势之一在于可根据实际情况合理调整单元疏密程度,准确模拟任意复杂地形和密度异常体的重力异常,兼顾计算精度与计算效率;优势之二在于用形函数拟合求得积分的解析解,计算精度和效率高;充分利用一维形函数积分的高效和高精度,不同波数之间一维积分高度并行性及快速傅里叶变换的高效性,实现重力异常场三维数值模拟.设计棱柱体模型,通过数值解和解析解对比验证了该方法的正确性、适用性和高效性.针对任意复杂地形条件下的重力场及其张量的模拟问题,提出一种快速算法,对其有效性进行了验证.探究标准FFT法的截断效应对计算精度的影响,对比分析Gauss-FFT法和标准FFT扩边法两种方法的计算精度和效率,总结了二者的选取策略,结果表明选用标准FFT扩边法计算效率更高.实际地形的数值模拟表明本文算法适用于任意复杂地形的高效计算.     

空-地-井重力异常正则化协同密度反演方法

围绕综合利用空-地-井多源重力异常联合反演提升精度的目标,提出正则化协同密度反演方法,从而有效利用多维数据的横向和纵向变化特征提高反演精度,且无需先验信息的约束.此外,还提出利用奇异值谱和深度分辨率工具评价航空数据观测高度和层数对反演分辨率的影响.通过理论模型试验本文方法在空-地、地-井等不同情况下的应用效果,结果表明空-地-井重力异常正则化协同密度反演方法能获得更高分辨率、高精度的反演结果,且证明不同的钻孔位置对反演结果有较大的影响,从而可指导实际的空-地-井联合勘探.最后,利用文顿盐丘实际勘探数据进行空地和空地井重力数据协同反演,反演结果垂向分辨率明显优于地面观测数据反演结果,盐盖的顶面及中心埋深与前人研究和地质资料解释相吻合,验证了方法正确性及实用性,为推进我国空-地-井立体重磁勘探提供了重要的技术手段.     

Density function evaluation from borehole gravity meter data – regularized spectral domain deconvolution approach

We present a new method of transforming borehole gravity meter data into vertical density logs. This new method is based on the regularized spectral domain deconvolution of density functions. It is a novel alternative to the “classical” approach, which is very sensitive to noise, especially for high‐definition surveys with relatively small sampling steps. The proposed approach responds well to vertical changes of density described by linear and polynomial functions. The model used is a vertical cylinder with large outer radius (flat circular plate) crossed by a synthetic vertical borehole profile. The task is formulated as a minimization problem, and the result is a low‐pass filter (controlled by a regularization parameter) in the spectral domain. This regularized approach is tested on synthetic datasets with noise and gives much more stable solutions than the classical approach based on the infinite Bouguer slab approximation. Next, the tests on real‐world datasets are presented. The properties and presented results make our proposed approach a viable alternative to the other processing methods of borehole gravity meter data based on horizontally layered formations.     

基于广义S变换的大地电磁测深数据处理

S变换是一种优于短时傅里叶变换和小波变换的时频分析方法.采用广义S变换进行大地电磁场时间序列频谱分析,一方面能够提高对电磁噪声成分的时间定位能力,便于实现电磁噪声的滤波处理;另一方面可以增加频谱系数的个数,从而改善大地电磁阻抗张量元素的统计特性.本文从广义S变换和大地电磁测深数据处理方法的原理出发,给出了采用叠加窗函数的离散广义S变换形式,讨论了广义S变换窗口宽度比例因子、窗口宽度与可提取频谱系数个数之间的关系,定义了利用离散广义S变换时频谱计算大地电磁场分量功率谱公式;在此基础上,研究了基于S变换时谱频的大地电磁测深数据ROBUST处理方法.最后,通过实测资料进行方法检验,结果表明本文方法比短时傅里叶变换处理效果更好,并且有利于识别和压制电磁噪声.     

基于Curvelet变换与POCS方法的三维数字岩心重建

随着页岩气勘探与开发的深入,研究页岩裂隙的三维空间展布成为页岩岩石物理研究的必要步骤之一.但由于仪器的限制,页岩切片在深度上具有不连续性,以及数字岩心纵向上成像最小间隔与横向分辨率的不一致成为影响裂隙表征和数字岩石物理模拟精度提高的重要因素.为了更好的研究裂隙在三维的空间展布,本文将curvelet稀疏变换与凸集投影(POCS)迭代算法有效结合,实现三维数字岩心重建.首先对X射线扫描砂岩得到的三维数据体进行隔片抽稀,利用本文方法实现三维数据体重建,重建结果与完整数据体具有很好的一致性,且优于现有方法(spgl1),验证了新方法的有效性与先进性.其次对聚焦离子束扫描电镜(FIB-SEM)得到的纳米级页岩二维切片在深度上进行了加密重建,获得纵向上成像最小间隔与横向分辨率基本一致的三维数字岩心,由于仪器限制引起的页岩切片深度上的不连续性得到减弱,裂隙展布更加清晰.砂岩CT图像以及页岩FIB-SEM成像数据的重建结果验证了本文方法的有效性与先进性.     

基于GIS的区域重磁空间信息集成研究

根据区域重磁场的特点，利用其水平一导峰谷值线可确定异常体的线性构造，垂向二阶导数可确定异常体的环形构造的基本原理，在计算机上自动完成重磁数据处理及成图；并基于GIS"空间分析"功能对图形进行模式识别；实现区域重磁构造的自动提取与空间信息的自动集成.通过对我国东昆仑1:100万重力资料的实际应用，表明其结果具有实用性，其信息集成技术可用于改造以往计算机成图并借助透明纸叠置的人工重磁资料解释工作模式.     

基于GIS的区域重磁空间信息集成研究

根据区域重磁场的特点,利用其水平一导峰谷值线可确定异常体的线性构造,垂向二阶导数可确定异常体的环形构造的基本原理,在计算机上自动完成重磁数据处理及成图;并基于GIS"空间分析"功能对图形进行模式识别;实现区域重磁构造的自动提取与空间信息的自动集成.通过对我国东昆仑1:100万重力资料的实际应用,表明其结果具有实用性,其信息集成技术可用于改造以往计算机成图并借助透明纸叠置的人工重磁资料解释工作模式.     

高分辨率非线性三维整体反演研究(英文)

高分辨率非线性三维整体反演方法是基于非线性理论,在层位控制下,将工区多井(或全部井)的测井数据与井旁地震道数据输入具有多输入多输出的网络,同时进行整体训练,可获得整个工区的自适应权函数,并建立综合非线性映射关系,并根据储层在纵横方向上的地质变化特征更新这种非线性映射关系,这样,就能对反演过程及其反演结果起到约束和控制的作用,从而获得稳定且分辨率高的地震反演剖面(速度反演剖面/波阻抗反演剖面/密度反演剖面),实现整体反演,该方法通过模型试算和实际资料处理,获得较好的地质效果,证明该方法精度高、实用性强,可用于储层的定量分析。     

断裂构造精细解释技术——三方向小子域滤波

针对利用重磁场资料解决地质构造的精细划分和解释问题,提出三方向小子域滤波方法. 根据直立岩脉重力异常曲线特征和DCT理论,分析了直立岩脉重力异常π/２相位偏移技术,给出了突出三方向直立岩脉特征的平面重力异常及其π/2相移的DCT转换的理论公式. 模型实验证实,经过坐标变换后的偏移结果,其异常梯度最大值的水平位置与铅垂台阶断面在地面上的投影位置相一致;利用传统的小子域滤波分别检测每个方向偏移处理结果中的梯级带,突出三方向的异常分界特征,从而实现三方向小子域滤波的数值计算. 在应用中表明,传统的小子域滤波只能识别出黑龙江虎林盆地11条断裂带,而三方向小子域滤波法检测出33条断裂,这说明三方向小子域滤波法大大增强了对平面断裂水平位置信息的识别.