Use of maximum likelihood sparse spike inversion and probabilistic neural network for reservoir characterization: a study from F-3 block, the Netherlands
Use of maximum likelihood sparse spike inversion and probabilistic neural network for reservoir characterization: a study from F-3 block, the Netherlands
复制标题
使用最大似然稀疏尖峰反演和概率神经网络进行储层表征：来自荷兰 F-3 区块的研究
DOI：
10.1007/s13202-019-00805-3
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发表时间：
2019
影响因子：
2.2
通讯作者：
P. Rai
中科院分区：
文献类型：
--
作者：
P. K. Kushwaha;S. P. Maurya;N. Singh;P. Rai
最大似然稀疏脉冲反演（MLSSI）方法是地震界常用的井间储层物性参数估计方法。本文应用最大似然稀疏脉冲反演技术对荷兰F-3区块的三维叠后地震资料进行处理，以估计威尔斯井间区域的声阻抗。分析表明，该地区的阻抗变化范围为2500至6200 m/s/* g/cc，相对较低，表明该地区存在松散地层。合成地震道与原始地震道的相关系数为0.93，合成相对误差为0.369，表明该算法具有良好的性能。分析还表明，低阻抗异常之间的600和700毫秒的时间间隔，这可能是由于砂层的存在。在此基础上，利用概率神经网络分析方法沿着预测孔隙度，并结合多属性变换分析方法估计井间纵波速度和孔隙度。这些参数加强了地震资料解释，这是任何勘探和生产项目的非常关键的一步。将该方法首次应用于近井复合道，并与测井资料进行了对比。在得到合理结果后，对整个地震剖面进行了纵波速度和孔隙度的反演。分析显示异常在600和700毫秒之间的时间间隔，这证实了低阻抗区，可能对应于储层。这是初步的解释，但要确定储层，还需要研究更多的岩石物理参数。
Maximum likelihood sparse spike inversion (MLSSI) method is commonly used in the seismic industry to estimate petrophysical parameters in inter-well region. In present study, maximum likelihood sparse spike inversion technique is applied to the processed 3D post-stack seismic data from the F-3 block, the Netherlands, for estimation of acoustic impedance in the region between the wells. The analysis shows that the impedance varies from 2500 to 6200 m/s/*g/cc in the region which is relatively low and indicates the presence of loose formation in the area. The correlation between synthetic seismic trace and original seismic trace is found to be 0.93 and the synthetic relative error as 0.369, which indicate good performance of the algorithm. The analysis also shows low-impedance anomaly in between 600 and 700 ms time interval which may be due to the presence of sand formation. Thereafter, the probabilistic neural network analysis is performed to predict porosity along with multi-attribute transform analysis to estimate P-wave velocity and porosity in inter-well region. These parameters strengthen the seismic data interpretation which is very crucial step of any exploration and production project. The method is first applied to the composite traces near to well locations, and results are compared with well log data. After getting reasonable results, the whole seismic section is inverted for the P-wave velocity and porosity volume. The analysis shows anomaly in between 600 and 700 ms time interval which corroborates well with the low-impedance zone which may correspond to the reservoir. This is preliminarily interpretation; however to confirm a reservoir, there is need for more petrophysical parameters to be studied.