تخمین حجم توده معدنی منطقه ایله با تحلیل میدان مغناطیسی و وارون سازی داده گرانی کاذب بوسیله الگوریتم بهینه سازی ازدحام ذرات سراسری بهبودیافته

نوع مقاله : علمی-پژوهشی

نویسندگان

1 دانشجوی دکترا، گروه علوم زمین، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران

2 استادیار، گروه علوم زمین، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران

چکیده

در این مقاله، چشمه مولد بی‌هنجاری میدان مغناطیسی محدوده مطالعاتی در منطقه ایله شهرستان تایباد که از نظر وجود کانی‌های آهنی مورد توجه است، با استفاده از نرم‌افزار مدل ویژن مدل‌سازی شده و عمق توده مدفون با استفاده از روش‌های مرسوم اویلر دی کانولوشن و طیف توان انرژی تخمین زده می‌شود. همچنین الگوریتم بهینه‌سازی مبتنی بر جمعیت به نام الگوریتم بهینه‌سازی ازدحام ذرات سراسری بهبودیافته (IGPSO) تشریح می‌شود. کارآیی روش بهینه‌سازی ازدحام ذرات سراسری بهبودیافته با استفاده از داده گرانی مصنوعی آغشته به نوفه بررسی شد که نتایج، عملکرد قابل قبول روش یاد شده را نشان می‌دهد. با استفاده از این الگوریتم بهینه‌سازی، داده گرانی کاذب منطقه ایله، تجزیه و تحلیل شده و پارامترهای ساختاری توده مولد بی‌هنجاری که شامل عمق، شعاع، تباین چگالی، مختصات نقطه مبدا و فاکتور شکل است، تخمین زده می‌شود. بر اساس تحلیل انجام شده به وسیله IGPSO شکل توده مولد بی‌هنجاری کروی با یک شعاع 2/56 متر و تباین چگالی 93/1 گرم بر سانتی‌متر مکعب است. حفاری در محدوده مورد مطالعه عمق میانگین مرکز توده معدنی را در حدود 2/103 متر نشان می‌دهد. عمق‌ مرکز به دست آمده برای چشمه بی‌هنجاری از وارون‌سازی با استفاده از نرم‌افزار مدل ویژن و روش بهینه‌سازی ازدحام ذرات سراسری بهبود یافته به ترتیب 120 متر و 8/111 متر است که به ترتیب خطایی برابر 14% و 7/7% را نشان می‌دهد. حجم تقریبی توده زیرسطحی در حدود 104 × 74 مترمکعب برآورد شده است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Estimating the Mineral Mass Volume of the Ileh Region by Magnetic Field Analysis and Pseudo-Gravity Data Inversion Using the Improved Global Particle Swarm Optimization Algorithm

نویسندگان [English]

  • M. Heidari 1
  • M. Meshinchi Asl 2
  • M. Mehramuz 2
  • R. Heidari 2
1 Ph.D Student, Dept. of Earth Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Assistant Professor, Dept. of Earth Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran
چکیده [English]

In the current research, the buried causative body of a magnetic field anomaly was modeled using Encom ModelVision software and its depth was estimated using deconvolution Euler and energy power spectrum methods. The magnetic data of Iileh region of Taybad city was used for modeling. In addition, an optimization algorithm was explained as the Improved Global Particle Swarm Optimization (IGPSO). The obtained results showed IGPSO is acceptably resistant to the corrupted synthetic gravity data by noise. Using this optimization algorithm, the pseudo-gravity data of Iileh region was analyzed to determine the structural parameters of the causative body of the anomaly such as depth, radius, density contrast, origin point coordinate and shape factor. The determined shape of the causative body of the anomaly was a sphere with a radius of 56.2 m and a density contrast of 1.93 gr/cm3. The estimated depths of the center of the sphere by Encom ModelVision software and IGPSO method were 120 m and 111.8 m, respectively. While the drilling results in this area shows an average depth of 103.2 m for the center of the iron mineral body. This indicates the introduced IGPSO method obtained better results.

کلیدواژه‌ها [English]

  • Iileh
  • Improved global particle swarm optimization algorithm
  • Magnetic field
  • Model vision
  • Pseudo-gravity

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  • تاریخ دریافت: 17 شهریور 1400
  • تاریخ بازنگری: 31 مرداد 1401
  • تاریخ پذیرش: 22 دی 1400

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