Seismic Identification and Prediction Technology of Carboniferous Lithofacies Belts in P1 Well Block

P1井区石炭系储层作为准噶尔盆地西北缘重点勘探层系，受火山岩相带横向变化快、储层非均质性强影响，油气藏预测精度亟待提升。文章针对这一难题，基于高分辨率三维地震资料，结合钻井、测井相及岩石物理分析结果，建立石炭系火山岩岩相测井–地震响应模板，明确其不同岩相带地震反射特征；在地球物理特征识别基础上，进行多属性井震相关性分析，在工区内识别出近火山口相、溢流相及火山沉积相3类优势相带。本次研究实现了对岩相带空间展布的高精度预测，显著提高了识别与预测的准确性和可靠性，为石炭系下步勘探方向提供了重要的技术范式。The Carboniferous reservoirs in the P1 well block, as a key exploration target in the northwestern margin of the Junggar Basin, exhibit rapid lateral variations in volcanic lithofacies and strong reservoir heterogeneity, leading to an urgent need for improved hydrocarbon prediction accuracy. To address this challenge, this study utilizes high-resolution 3D seismic data combined with drilling, logging facies, and petrophysical analysis to establish a logging-seismic response template for Carboniferous volcanic lithofacies, clarifying the seismic reflection characteristics of different lithofacies belts. Based on geophysical feature identification, multi-attribute seismic-well correlation analysis was conducted, identifying three dominant lithofacies belts in the study area: proximal crater facies, effusive facies, and volcanic sedimentary facies. This research achieves high-precision spatial prediction of lithofacies distribution, significantly enhancing identification accuracy and reliability, and provides an important technical paradigm for further exploration of the Carboniferous system.