Intelligent identification of sequence stratigraphy constrained by multipopulation genetic algorithm and dynamic time warping technique: A case study of Lower Cretaceous Qingshuihe Formation in hinterland of Junggar Basin (NW China)

• Published in: Basin research Vol. 33; no. 4; pp. 2517 - 2544
• Main Authors: Shi, Bingbing, Chang, Xiangchun, Liu, Zhongquan, Pang, Yumao, Xu, Youde, Mao, Lixin, Zhang, Pengfei, Chen, Guo
• Format: Journal Article
• Language: English
• Published: Oxford Wiley Subscription Services, Inc 01.07.2021
• Subjects: Accuracy; Algorithms; Chromosomes; Correlation; Cretaceous; Data integration; Division; dynamic time warping technique; Edge detection; Entropy; Error analysis; Flooding; Frequency analysis; Genes; Genetic algorithms; Geophysical data; high‐resolution sequence stratigraphy; Identification; Junggar Basin hinterland; Maximum entropy; multipopulation genetic algorithm; Oil and gas exploration; Oil exploration; Optimization; Petroleum; principal component analyses; Process parameters; Sandstone; Sedimentary rocks; Seismic data; Seismic surveys; self‐adaptation variable‐time window; Sequence stratigraphy; Sequencing; spectral trend attribute analyses; Stratigraphy; synthetic seismogram; Tectonics; Uplift; Warping; Wavelet analysis; Wavelet transforms; Well logs

The division and correlation of sequence stratigraphy are one of the essential steps in petroleum exploration. To comprehensively utilize the sequence stratigraphic information implied in multiple wireline well logs and improve the accuracy and reliability of sequence stratigraphic division, based o...