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  1. Chapter and Conference Paper

    Use of Electrical Resistivity Tomography (ERT) for Detecting Underground Voids on Electrical Pylon Installation Sites: Case Studies from Labé Prefecture, Republic of Guinea

    This study was carried out within the framework of the Gambia River Basin Development Organization Energy Project (OMVG), which brings together Gambia, Guinea, Guinea-Bissau and Senegal. The construction of a ...

    Ahmed Amara Konaté, Oumar Barou Kaba in Proceedings of the 9th International Confe… (2023)

  2. No Access

    Article

    Geostatistical analysis of hydrogeological data of the Baraka gold zone, prefecture of Siguiri, Republic of Guinea

    Although mining activities greatly contribute to improving the socio-economic life of the populations of the Birimian basin of Siguiri, they significantly impact their environment. These mining activities take...

    Ahmed Amara Konaté, Souleymane Fanta Konaté in Environmental Earth Sciences (2022)

  3. No Access

    Article

    Integrated geophysical study of Lower Indus basin at regional scale

    The Lower Indus Basin in Pakistan has its significance and has proven oil and gas potential in Pakistan. To explore its hidden realities on basis of advance technologies of exploration geophysics, the present ...

    Nasir Khan, Peimin Zhu, Ahmed Amara Konaté in Arabian Journal of Geosciences (2021)

  4. No Access

    Chapter and Conference Paper

    Mineralogy Recognition from In-Situ Elemental Concentration Log Data Using Factor Analysis

    Understanding log response in crystalline rocks is one of the major challenges encountered by geoscientists in general, and well-log analysts in particular. Owing to the persistence of metamorphism process, lo...

    Ahmed Amara Konaté, He** Pan, Nasir Khan in Petrogenesis and Exploration of the Earth’… (2019)

  5. No Access

    Article

    Integrated core-log interpretation of Wenchuan earthquake Fault Scientific Drilling project borehole 4 (WFSD-4)

    Understanding slip behavior of active fault is a fundamental problem in earthquake investigations. Well logs and cores data provide direct information of physical properties of the fault zones at depth. The ge...

    Ahmed Amara Konaté, He** Pan, Huolin Ma, Zhen Qin, Alhouseiny Traoré in Acta Geophysica (2017)

  6. No Access

    Article

    Performance evaluation of artificial neural networks for planimetric coordinate transformation—a case study, Ghana

    Two national horizontal geodetic datums, namely, the Accra and Leigon datum, have been the only available datum used in Ghana. These two datums are non-geocentric and were established based on astro-geodetic o...

    Yao Yevenyo Ziggah, Hu Youjian, Alfonso Tierra in Arabian Journal of Geosciences (2016)

  7. Article

    Open Access

    Crosswell electromagnetic modeling from impulsive source: Optimization strategy for dispersion suppression in convolutional perfectly matched layer

    This study applied the finite-difference time-domain (FDTD) method to forward modeling of the low-frequency crosswell electromagnetic (EM) method. Specifically, we implemented impulse sources and convolutional...

    Sinan Fang, He** Pan, Ting Du, Ahmed Amara Konaté, Chengxiang Deng in Scientific Reports (2016)

  8. Article

    Open Access

    Generalized regression and feed-forward back propagation neural networks in modelling porosity from geophysical well logs

    Geophysical formation evaluation plays a fundamental role in hydrocarbon exploration and production processes. It is a process which describes different reservoir parameters using well field data. Porosity is ...

    Ahmed Amara Konaté, He** Pan, Nasir Khan in Journal of Petroleum Exploration and Produ… (2015)

  9. No Access

    Chapter and Conference Paper

    Machine Learning Interpretation of Conventional Well Logs in Crystalline Rocks

    The identification of lithologies is a crucial task in continental scientific drilling research. In fact, in complex geological situations such as crystalline rocks, more complex nonlinear functional behaviors...

    Ahmed Amara Konaté, He** Pan in Advances in Swarm and Computational Intell… (2015)

  10. No Access

    Article

    Prediction of porosity in crystalline rocks using artificial neural networks: An example from the Chinese Continental Scientific Drilling Main hole

    Porosity plays an important part of understanding permeability and fluid flow within the continental, crystalline rocks. Geophysical well logs are presently the most consistent means of providing continuous in...

    Ahmed Amara Konaté, He** Pan, Nasir Khan in Studia Geophysica et Geodaetica (2015)