| 重磁电(井)震综合物探技术在识别达巴松凸起石炭系深部火山岩中的应用 |
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| 引用本文：卞保力,江梦雅,王学勇,张生,蒋中发,刘海军,齐松.2022.重磁电(井)震综合物探技术在识别达巴松凸起石炭系深部火山岩中的应用[J].地球学报,43(5):711-718. |
| DOI：10.3975/cagsb.2022.060201 |
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| 基金项目:中国石油天然气股份公司“十四五”重大前瞻性基础性重大科技项目“陆相深层超深层油气富集规律与勘探评价技术研究” (编号: 2021DJ0206) |
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| 中文摘要:近年来, 准噶尔盆地石炭系火山岩勘探屡获突破, 展现了火山岩储层良好的勘探前景。由于准噶尔盆地石炭系火山岩存在埋藏深度大, 受勘探手段和地球物理资料品质等因素的制约, 深层火山岩的识别与解释目前仍存在诸多困难和问题, 为油田地震勘探工作带来了极大困难。如何通过现有物探方法和技术提高深部火山岩的分辨、识别能力, 具有很强的理论和实际意义。由于特殊地质体在密度、磁化率或电阻率等物性组合方面存在特殊性, 因此可通过多方法综合物探技术对其进行综合识别、限定。本文在深入分析达巴松凸起钻井、物性资料的基础上, 利用重磁电异常信息模式判别技术, 预测了石炭系火山岩的平面展布, 缩小和锁定了深层火山岩地震勘探的有利靶区; 再以地震相分析、地震属性解释、构造制图及综合评价为主要技术手段, 对深层火山岩进行定量识别和预测, 落实和优选了深层火山岩有利勘探目标, 并取得了良好效果。总结了深层特殊地质体勘探的高精度地震资料采集和重磁电震(井)综合应用、联合反演解释等手段, 极大地提高了准噶尔盆地深层火成岩的勘探精度。 |
| 中文关键词:重磁电异常 地震相分析 石炭系 火山岩 达巴松凸起 联合反演 岩性识别 |
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| Application of Integrated Exploration Based on Gravity, Magnetic, Magnetotelluric, Well, and Seismic Properties in the Identification of Deep Volcanic Rocks of Carboniferous in Dabasong Uplift |
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| Abstract:In recent years, the exploration of volcanic rocks of Carboniferous in Junggar basin repeatedly made breakthroughs, and volcanic reservoir shows a good prospect. Owing to restricting factors such as burial depth, exploration methods, and quality of geophysical data, the identification and characterization of deep volcanic rocks of Carboniferous in Junggar basin remains controversial, making seismic exploration difficult in oil field. Therefore, improving the resolution and identification of deep volcanic rocks using existing geophysical exploration methods is of great theoretical and practical significance. Moreover, they can be identified and defined using integrated geophysical exploration, owing to the density, magnetic, resistivity, or other physical properties of special geological bodies. After analyzing well and physical properties, the plane distribution of Carboniferous volcanic rocks in Dabasong uplift is predicted based on gravity, magnetic, and electronic anomaly, and the favorable target area for seismic exploration of deep volcanic rocks is confirmed. The deep volcanic rocks are quantitatively identified and predicted using seismic facies analysis, seismic attribute interpretation, structure mapping, and comprehensive evaluation. In this study, we summarize the high precision seismic data acquisition; the integrated application of gravity, magnetic, electric, and seismic methods; and the joint inversion of deep special geological bodies. This study improves the precision of exploration of deep volcanic rocks in Junggar basin. |
| keywords:gravity magnetoelectric anomalies seismic facies analysis Carboniferous volcanic rocks Dabasong uplift joint inversion lithology recognition |
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