Majid Bagheri

1. Porosity estimation of carbonate reservoirs using a hybrid deep neural network model based on well data

Mehrabi Amirreza, Bagheri Majid, Nabi Bidhendi Majid, Biniaz Delijani Ebrahim, Behnoud Mohammad (2025)., Iranian Journal of Geophysics (IJG), 19(1), 143-164.

2. Gas Reservoir Detection Using Mixed Components Short Time Fourier Transform (MC-STFT) as a new attribute

Jalali Ali, Bagheri Majid, Abbasi Mostafa (2025)., Journal of the Earth and Space Physics, 50(4), 71-79.

3. Enhancing Porosity Prediction Accuracy in Oil Reservoirs: Evaluating Hybrid Machine Learning Approaches Integrating Well Log and Core Data

Mehrabi Amirreza, Bagheri Majid, Nabi Bidhendi Majid, Biniaz Delijani Ebrahim, Behnood Mohammad (2025)., Journal of the Earth and Space Physics, 50(4), 91-113.

4. Seismic-well tie using fuzzy properties of acoustic impedance in the dynamic time warping

Jahanjooy Saber, Hashemi Hosein, Bagheri Majid, Bahram Karam Dunya (2025)., Earth Science Informatics, 18(205).

5. Predictive reconstruction of missing geological events and patterns in real-life 3D post-stack seismic images: a novel U-Net based deep learning approach

Mahzad Matin, Bagheri Majid (2025)., CARBONATES AND EVAPORITES, 40(12).

1. The combination of long short term memory neural network learning machines and Convolutional neural network to estimate porosity

Mehrabi Amirreza, Bagheri Majid, Nabi Bidhendi Majid (2024)., Iranian Geophysical Conference (IGC21), 10-11 December, Tehran, Iran.

2. Investigating the quality of the reservoir by combining learning machines of convolutional neural network and recurrent neural network

Mehrabi Amirreza, Bagheri Majid, Nabi Bidhendi Majid (2024)., Iranian Geophysical Conference (IGC21), 10-11 December, Tehran, Iran.

3. Integration of seismic multi-attributes for fault detection by combining learning methods SVM and MLP

Esmaeili Hadi, Bagheri Majid (2024)., Iranian Geophysical Conference (IGC21), 10-11 December, Tehran, Iran.

4. Improved porosity estimation in complex carbonate reservoirs using hybrid CRNN deep learning model

Mehrabi Amirreza, Bagheri Majid, Nabi Bidhendi Majid, Biniaz Delijani Ebrahim, Behnoud Mohammad (2024)., Earth Science Informatics, 17(3).

5. Hydrocarbon reservoir parameter estimation using a fuzzy Gaussian based SVR method

Moosavi Nastaran, Bagheri Majid, Nabi Bidhendi Majid (2024)., Bulletin of Geophysics and Oceanography, 2(2785-2970).

6. Fuzzy Seismic Inversion: A Case Study on Channel Features in Johnson Formation of Browse Basin, Australia

Jahanjooy Saber, Hashemi Hosein, Bagheri Majid (2024)., Journal of the Earth and Space Physics, 49(4).

7. Exploring New Geophysical Technologies and Their Impact on Hydrocarbon Resource Discovery

مظفری محسن, Bagheri Majid, Riahi Mohammad Ali, رحیمی مهران (2024)., Proceedings of the 6th Oil Exploration Geophysics Conference, February 1st, 2024, 1 February, Tehran, Iran.

8. A Hybrid CNN-LSTM Deep Learning Framework for Porosity Prediction in Carbonate Reservoirs

Mehrabi Amirreza, Bagheri Majid, Nabi Bidhendi Majid, Biniaz Delijani Ebrahim, Behnoud Mohammad (2024)., 6th Oil exploration geophysics conference, 1 February, Tehran, Iran.

1. An unsplit perfectly matched layer for second-order heterogeneous time-domain elastic wave equation

Rezaee Arash, Riahi Mohammad Ali, Bohlen Thomas, Soleimani-Monfared Mehrdad, Bagheri Majid (2023)., 84th EAGE Annual Conference & Exhibition, 5-8 June, Vienna, Austria.

2. Fuzzy inference system design for multiple attenuation with quantitative validation criteria using Auto Correlation Energy Ratio (ACER)

Zarei Meysam, Hashemi Hosein, Bagheri Majid (2023)., JOURNAL OF SEISMIC EXPLORATION, 32(3).

3. Prediction of Water Saturation by FSVM using Well Logs in a Gas Field

Moosavi Nastaran, Bagheri Majid, Nabi Bidhendi Majid, Heidari Reza (2023)., Journal of the Earth and Space Physics, 48(4).

1. Prediction of Shale Volume and Water Saturation using Pre-Stack Seismic and Well-Log Data in an Oil Field

Jelvegar Filband Ali, Riahi Mohammad Ali, Bagheri Majid (2022)., Iranian Journal of Oil and Gas Science and Technology, 11(38).

2. Footprint Noise Suppression from Seismic Data using EPS

Rezaei Abkenar Zeinab, Bagheri Majid (2022)., 20th Iranian Geophysical Conference, 22-23 November.

3. Calculation of soil dynamic elastic coefficients using vertical seismic profiling

Ghanbari mir Yaser, Bagheri Majid (2022)., 20th Iranian Geophysical Conference, 22-23 November.

4. Reservoir porosity prediction using prestack seismic attribute

Taheri Maryam, Bagheri Majid (2022)., 20th Iranian Geophysical Conference, 22-23 November.

5. Utilization of Quantum Science Capacity in Geophysical Studies

Soleimani Mohammadhassan, Bagheri Majid (2022)., 20th Iranian Geophysical Conference, 22-23 November.

6. The application of deep learning machines in seismic data interpretation

Khodagholi Mohammad Ali, Bagheri Majid (2022)., 20th Iranian Geophysical Conference, 22-23 November.

7. Comparison of combined methods and dictionary learning machine for seismic random noise attenuation

Ashkavand Yahya, Bagheri Majid, Nabi Bidhendi Majid (2022)., 20th Iranian Geophysical Conference, 22-23 November.

8. Porosity prediction using Fuzzy SVR and FCM SVR from well logs of an oil field in south of Iran

Moosavi Nastaran, Bagheri Majid, Nabi Bidhendi Majid, Heidari Reza (2022)., Acta Geophysica, 70(6).

9. Fuzzy Partitioning of Radon Domain for Estimation of Water Reverberation Energy

Zarei Meysam, Hashemi Hosein, Bagheri Majid (2022)., Journal of the Earth and Space Physics, 47(4).