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Interpretation of some magnetic bodies using neural networks inversion

تفسيرات بعض الاجسام المغناطيسية بالاسلوب التعاكسي مستعملا الشبكات العصبية

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Abstract

Magnetic surveys have been used for mineral exploration where different data processing techniques were used to derive the parameters of causative targets. In this respect, the neural network (NN) technique was used to estimate the magnetic causative target parameters. Examples of NN inversion have been tested on synthetic examples where the NN was trained well using forward models of the vertical magnetic effect of a vertical sheet and a horizontal circular cylinder. Specifically, modular neural network (MNN) inversion has been used for the parameter estimation of the causative targets, where the sigmoid function was used as the activation function. The effect of random noise and the error estimation of the horizontal location have been analyzed. When NN is applied to real data, it estimates successfully the parameters of the causative targets such as burial depths, magnetic constants, and angle of polarization. Hilbert transform has been used to locate the source origin, which is important for the NN inversion. This approach has more advantages than the conventional data inversions in terms of its efficiency and flexibility. It also gives fast solutions. The MNN approach has been applied to the Kursk and Manjampalli anomalies, where the results were shown to be in good agreement with the other techniques published in the literature.

Abstract

تستعمل المساحة المغناطیسیة للاستكشاف عن المعادن باستخدام الطرق المختلفة لمعالجة المعلومات ومن ثم لاستنباط المعاملات للاھداف المسببة للمغناطیسیة منھا.وفي ھذا الاطار استخدمت الشبكة العصبیة لتقدیر تلك المعاملات. وقد تم اختبار الحلول التعاكسیة على الامثلة المصطنعة للاجسام المسببة للمغناطیسیة وذلكباستخدام الشبكة العصبیة بعد تدریبھا تدریبا جیدا على النماذج المسببة للمغناطیسیة العمودیة لصفیحة رأسیة واسطوانیة افقیة ذات مقطع دائري.وقد استعملت الشبكةالعصبیة التي تمت معایرتھا للقیام بالحل التعاكسي لتقدیر المعلومات عن كما تم دراسة وتحلیل كلا من تاثیر .(S) الاجسام المسببة للمغناطیسیة مع استخدام الدالة المنشطة على ھیئة حرف الضوضاء العشوائیة والخطأ في تحدید المواقع الافقیة للاھداف المسببة للمغناطیسة. وقد تم بنجاح تطبیق الحل التعاكسي على البیانات الحقلیة باستخدام الشبكة العصبیة في تقدیر المعاملات للاھداف المسببة للمغناطیسیة كالاعماق والثوابت المغناطیسیة وزوایا الاستقطاب. واستخدم تحویل ھلبرت المھم لتحدید الموقع الافقي للاھداف المسببة للمغناطیسیة. أن الحلالتعاكسي باستخدام الشبكة العصبیة لھو افضل حل اذا ماقورن بالحلول التعاكسیة الاخرى وذلك من حیث فعالیتة ومرونتة وسرعة الحصول على النتائج منھ.فطریقة الحل التعاكسي باستخدام الشبكة العصبیة قد طبقت على كل من شاذة كیرسك وشاذة مانجمبالي، حیث اظھرت النتائجتوافقاجیدا مع نتائجالتقنیات الاخرى المنشورة.

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Authors and Affiliations

  1. Department of Geophysics, Faculty of Earth Sciences, King Abdulaziz University, P.O. 80206, Jeddah, 21589, Saudi Arabia

    Mansour A. Al-Garni

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  1. Mansour A. Al-Garni
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Correspondence to Mansour A. Al-Garni.

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Al-Garni, M.A. Interpretation of some magnetic bodies using neural networks inversion. Arab J Geosci 2, 175–184 (2009). https://doi.org/10.1007/s12517-008-0026-9

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  • DOI: https://doi.org/10.1007/s12517-008-0026-9

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