Muhsan Ehsan

Dr. Muhsan Ehsan

Bahria University, Islamabad, Islāmābād, Pakistan
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2022 in Frontiers in Environmental Science
Verified
Journal Article
Open access
ZMZaira Manzoor
Zaira Manzoor
Muhsan EhsanMuhsan Ehsan
Muhsan Ehsan
MKMuhammad Bashir Khan
Muhammad Bashir Khan
AMAqsa Manzoor
Aqsa Manzoor
MAMalik Muhammad Akhter
Malik Muhammad Akhter
MAMohamed Abioui
Mohamed Abioui
Flood is one of the most damaging natural disasters as the recent floods have shown their serious impact on Pakistan. Flood control and regulation policies are essential to reduce the risks of economic downturn, a threat to human existence, and to sustain the ecology. The severity of flood catastrophe activities represents a constant and severe issue in the world. Floods are rising year by year in severity and duration, causing negative impacts on the social and economic conditions of the nation concerned. While the frequency of floods cannot be avoided, their adverse impacts can be considerably reduced by adopting careful planning and efficient training. This paper reviews the socioeconomic impact of floods, and the existing condition of flood control policies outlines the flood protection problems and discusses opportunities for successful and efficient flood control in Pakistan. The paper also intends to propose several suggestions for efficient and sustainable flood control in Pakistan.


1 September 2020 in Journal of Natural Gas Science and Engineering
Verified
Journal Article
Closed access
HAHaroon Aziz
Haroon Aziz
Muhsan EhsanMuhsan Ehsan
Muhsan Ehsan
AAAbid Ali
Abid Ali
HKHumayun Khalil Khan
Humayun Khalil Khan
AKAbdullah Khan
Abdullah Khan

3 August 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
MAMansoor Ahmed
Mansoor Ahmed
WHWen Huan
Wen Huan
NANafees Ali
Nafees Ali
ASAhsan Shafi
Ahsan Shafi
Muhsan EhsanMuhsan Ehsan
Muhsan Ehsan
MFMohammed S. Fnais
Mohammed S. Fnais
With population and income growth, the need for energy has increased in developing and emerging economies, which has inevitably led to an increase in carbon dioxide emissions (CO2e). This paper investigates the impact of energy consumption on CO2e influenced by population growth, energy consumption per capita, and income. In particular, this paper investigates whether or not an increase in energy consumption, energy intensity, energy consumption per capita, population growth, and income impacts CO2e in China, India, and the USA. The study applied the non-linear Autoregressive distributed lag (NARDL) and machine learning techniques. We found a significant impact of energy consumption per capita on the CO2 emissions in China, India, and USA. Furthermore, the results revealed that, when income increased, CO2 emissions increased in India, but decreased in the USA. The results confirmed that population growth increases CO2 emissions only in India. The results revealed that a decrease in energy intensity significantly improves the environmental quality in China and India. Finally, we forecasted the CO2e trend from 2017 to 2025. The results revealed an upcoming increase in CO2e levels in China and India. Conversely, the forecasted results demonstrated a downward trend of CO2e emissions in the USA.

1 April 2021 in Journal of Petroleum Exploration and Production Technology
Verified
Journal Article
Open access
PDF file
YBYasir Bashir
Yasir Bashir
MFMuhammad Amir Faisal
Muhammad Amir Faisal
ABAjay Biswas
Ajay Biswas
ABAmir Abbas Babasafari
Amir Abbas Babasafari
SASyed Haroon Ali
Syed Haroon Ali
Muhsan EhsanMuhsan Ehsan
Muhsan Ehsan
A substantial proportion of proven oil and gas reserves of the world is contained in the carbonate reservoir. It is estimated that about 60% of the world’s oil and 40% of gas reserves are confined in carbonate reservoirs. Exploration and development of hydrocarbons in carbonate reservoirs are much more challenging due to poor seismic imaging and reservoir heterogeneity caused by diagenetic changes. Evaluation of carbonate reservoirs has been a high priority for researchers and geoscientists working in the petroleum industry mainly due to the challenges presented by these highly heterogeneous reservoir rocks. It is essential for geoscientists, petrophysicists, and engineers to work together from initial phases of exploration and delineation of the pool through mature stages of production, to extract as much information as possible to produce maximum hydrocarbons from the field for the commercial viability of the project. In the absence of the well-log data, the properties are inferred from the inversion of seismic data alone. In oil and gas exploration and production industries, seismic inversion is proven as a tool for tracing the subsurface reservoir facies and their fluid contents. In this paper, seismic inversion demonstrates the understanding of lithology and includes the full band of frequency in our initial model to incorporate the detailed study about the basin for prospect evaluation. 3D seismic data along with the geological & petrophysical information and electrologs acquired from drilled wells are used for interpretation and inversion of seismic data to understand the reservoir geometry and facies variation including the distribution of intervening tight layers within the Miocene carbonate reservoir in the study area of Central Luconia. The out-come of the seismic post-stack inversion technique shows a better subsurface lithofacies and fluid distribution for delineation and detailed study of the reservoir.

1 October 2020 in Acta Astronautica
Verified
Journal Article
Closed access
munawar shahmunawar shah
munawar shah
AAArslan Ahmed
Arslan Ahmed
Muhsan EhsanMuhsan Ehsan
Muhsan Ehsan
Majid KhanMajid Khan
Majid Khan
MTMuhammad Arslan Tariq
Muhammad Arslan Tariq
ZRZahid Ur Rahman
Zahid Ur Rahman