Seismic and well log driven structural and petrophysical analysis of the Lower Goru Formation in the Lower Indus Basin, Pakistan

Muhammad Naeem,Muhammad Kamran Jafri,Sayed S.R. Moustafa,Nassir S. AL-Arifi,Shazia Asim,Farhan Khan,Nisar Ahmed 한국지질과학협의회 2016 Geosciences Journal Vol.20 No.1

The Sinjhoro concession is prolific gas-producing block situated on the eastern limb of the Lower Indus Basin in Pakistan. It contains several development and production (D & P) leases, which are producing gas from Cretaceous rocks. The present study aimed to evaluate the structural and petrophysical properties of the Lower Goru Formation using a 2D seismic and well-driven integrated study. A seismic driven time structure map of the Lower Goru Formation was generated, which depicted horst and graben structures oriented predominantly in a NNW-SSE direction. These normal faults are deep seated and potentially provide a vertical primary migration pathway to hydrocarbon flow. A prospective lead of 20 ms was identified in the northwestern portion of the structural map, which could be explored further. Besides this, a RMS amplitude map was generated within the target reservoir level to show the general sand body distribution within the reservoir. Our study revealed that the reservoir quality sands are deposited in the eastern portion of the study area. The identified lead is also located on a fair to good level of sand body which is producing from the well drilled to the south of the prospective area. Additionally, it is strongly recommended to conduct an infill seismic survey over and around the newly identified prospect in order to validate its existence and aerial outspreads. Well correlation, petrophysical data logs (PDLs) and cross-plot techniques were adopted to predict the petrophysical properties of the reservoir level. During the petrophysical study, two prospective zone were identified, with Zone-II showing more promising results for hydrocarbon presence than Zone-I. The present research has shown that integration of seismic attributes with petrophysical calculations can help to identify new prospective leads even in cases where there is less seismic data coverage.

Gender Classification with Decision Trees

Muhammad Naeem Ahmed Khan,Sheraz Ahmed Qureshi,Naveed Riaz 보안공학연구지원센터(IJSIP) 2013 International Journal of Signal Processing, Image Vol.6 No.1

Implementing a Storage Pattern in the OR Mapping Framework

Muhammad Naeem Ahmed Khan,Arsalan Shahid,Sarah Shafqat 보안공학연구지원센터(IJGDC) 2013 International Journal of Grid and Distributed Comp Vol.6 No.5

Sentiment Analysis for COVID-19 Vaccine Popularity

( Muhammad Saeed ),( Naeem Ahmed ),( Abid Mehmood ),( Muhammad Aftab ),( Rashid Amin ),( Shahid Kamal ) 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.5

Social media is used for various purposes including entertainment, communication, information search, and voicing their thoughts and concerns about a service, product, or issue. The social media data can be used for information mining and getting insights from it. The World Health Organization has listed COVID-19 as a global epidemic since 2020. People from every aspect of life as well as the entire health system have been severely impacted by this pandemic. Even now, after almost three years of the pandemic declaration, the fear caused by the COVID-19 virus leading to higher depression, stress, and anxiety levels has not been fully overcome. This has also triggered numerous kinds of discussions covering various aspects of the pandemic on the social media platforms. Among these aspects is the part focused on vaccines developed by different countries, their features and the advantages and disadvantages associated with each vaccine. Social media users often share their thoughts about vaccinations and vaccines. This data can be used to determine the popularity levels of vaccines, which can provide the producers with some insight for future decision making about their product. In this article, we used Twitter data for the vaccine popularity detection. We gathered data by scraping tweets about various vaccines from different countries. After that, various machine learning and deep learning models, i.e., naive bayes, decision tree, support vector machines, k-nearest neighbor, and deep neural network are used for sentiment analysis to determine the popularity of each vaccine. The results of experiments show that the proposed deep neural network model outperforms the other models by achieving 97.87% accuracy.

Distributed Gateway Selection for M2M Communication in Cognitive 5G Networks

Naeem, Muhammad,Ejaz, Waleed,Karim, L.,Ahmed, Syed Hassan,Anpalagan, A.,Jo, Minho,Song, Houbing IEEE 2017 IEEE network Vol.31 No.6

<P>M2M communication is an important component for future wireless networks. M2M systems consist of a large number of devices that can operate with minimum or no human intervention. However, spectrum demand rises exponentially with the increase in the number of connected devices. Cognitive 5G networks are key to address the issue of spectrum scarcity. Further, use of multiple gateways in cognitive 5G networks for M2M communication can increase system throughput, coverage, and energy efficiency. Nevertheless, using multiple gateways for the secondary M2M devices may cause interference to the primary M2M devices. Existing gateway selection protocols for cognitive M2M communication mostly use single channel CSMA, and thus are not efficient in terms of reducing the interference. Thus, in this article, we propose a DGAP based on multi-channel CSMA for M2M communication in 5G networks. Further, we propose a Lo-DGAP, where each gateway transmits only the worst primary M2M device information rather than transmitting all neighboring primary M2M device information. The proposed Lo-DGAP increases the throughput of the system by reducing the message header payload and is also energy-efficient. Simulation results demonstrate the effectiveness of the proposed schemes in terms of network lifetime and energy consumption.</P>

The Effect of Sc Promoter on the Performance of Co/TiO2–P25 Catalyst in Dry Reforming of Methane

Ahmed Sadeq Al-Fatesh,Muhammad Awais Naeem,Anis Hamza Fakeeha,Ahmed Elhag Abasaeed 대한화학회 2015 Bulletin of the Korean Chemical Society Vol.36 No.8

In the present work, the effect of scandium (Sc) promoter on the performance of Co/TiO2–P25 catalyst in dry reforming of methane has been investigated. The catalysts were prepared by the incipient wet impregnation technique. For each catalyst, the Co loading was fixed at 5 wt %, while the Sc loading was varied from 0.0 to 2.0 wt %. The experiments were carried out at atmospheric pressure in a micro tubular reactor at a temperature of 700 °C. For better understanding and comparison, the catalysts were characterized by various techniques such as Brunauer–Emmett–Teller (BET), X-ray diffraction (XRD), H2-temperature-programmed reduction (TPR), CO2-temperature-programmed desorption (TPD), and thermogravimetric analyses (TGA). The results revealed that the promotion of Co/TiO2–P25 catalyst with Sc has a significant impact on its catalytic performance and the amount of carbon deposition. The doping of Co/TiO2–P25 catalyst with Sc improves the basicity and enhances the metal support interaction in the catalyst. At higher Sc loading, Co metal oxidation became substantial that triggered severe catalyst deactivation. Amongst all Sc-promoted catalysts, 0.75 wt % Sc-promoted catalyst exhibited the highest CH4 and CO2 activity with minimum deactivation.

A Hybrid Proposed Framework for Object Detection and Classification

( Muhammad Aamir ),( Yi-fei Pu ),( Ziaur Rahman ),( Waheed Ahmed Abro ),( Hamad Naeem ),( Farhan Ullah ),( Aymen Mudheher Badr ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.5

The object classification using the images’ contents is a big challenge in computer vision. The superpixels’ information can be used to detect and classify objects in an image based on locations. In this paper, we proposed a methodology to detect and classify the image's pixels' locations using enhanced bag of words (BOW). It calculates the initial positions of each segment of an image using superpixels and then ranks it according to the region score. Further, this information is used to extract local and global features using a hybrid approach of Scale Invariant Feature Transform (SIFT) and GIST, respectively. To enhance the classification accuracy, the feature fusion technique is applied to combine local and global features vectors through weight parameter. The support vector machine classifier is a supervised algorithm is used for classification in order to analyze the proposed methodology. The Pascal Visual Object Classes Challenge 2007 (VOC2007) dataset is used in the experiment to test the results. The proposed approach gave the results in high-quality class for independent objects’ locations with a mean average best overlap (MABO) of 0.833 at 1,500 locations resulting in a better detection rate. The results are compared with previous approaches and it is proved that it gave the better classification results for the non-rigid classes.

Lethal and trans-generational effects of Metarhizium anisopliae on red palm weevil, Rhynchophorus ferrugineus, using age-stage, two-sex life table

Ahmed Rizwan,Freed Shoaib,Naeem Afifa,Akmal Muhammad 한국응용곤충학회 2022 Journal of Asia-Pacific Entomology Vol.25 No.2

Outbreaks of red palm weevil, Rhynchophorus ferrugineus Olivier, in Pakistan are considered a very serious threat to the date industry, owing to the sudden death of date palm trees. Current integrated management strategy largely depends on insecticides, with negative impacts on the environment. Integration of bio-control strategies incorporating entomopathogenic fungi (EPF) may provide an ecologically safe alternative. In the current study the effectiveness of Metarhizium anisopliae Sorokin against R. ferrugineus was investigated using the immersion method and the effects of this fungus on biological parameters of R. ferrugineus were estimated by age-stage, twosex life table software. After treatment with M. anisopliae isolate (Ma-M 2 ), lethal concentration (LC 50 ) 1.2 × 10 6 spores/mL was determined against R. ferrugineus 3rd instar grubs. M. anisopliae infected grubs showed reduced net reproductive rate R o (75.55) and mean generation time T (113.886 days) and intrinsic rate of increase r (0.03797) compared to the untreated group. Also, adult longevity of males and females were significantly reduced in the M. anisopliae-infected group (F 1 ) as compared to the untreated group. Trans-generational studies revealed that grubs stage duration (69.34 days) and fecundity (181.32 eggs) of the M. anisopliae-infected group (F 1 ) were decreased compared to the untreated group. The use of lasting and adverse effects on the biological parameters of R. ferrugineus, indicate that treatment with EPF may provide an eco-friendly management strategy for this pest.

Lethal and trans-generational effects of Metarhizium anisopliae on red palm weevil, Rhynchophorus ferrugineus, using age-stage, two-sex life table

Ahmed Rizwan,Freed Shoaib,Naeem Afifa,Akmal Muhammad 한국응용곤충학회 2022 Journal of Asia-Pacific Entomology Vol.25 No.3

Outbreaks of red palm weevil, Rhynchophorus ferrugineus Olivier, in Pakistan are considered a very serious threat to the date industry, owing to the sudden death of date palm trees. Current integrated management strategy largely depends on insecticides, with negative impacts on the environment. Integration of bio-control strategies incorporating entomopathogenic fungi (EPF) may provide an ecologically safe alternative. In the current study the effectiveness of Metarhizium anisopliae Sorokin against R. ferrugineus was investigated using the immersion method and the effects of this fungus on biological parameters of R. ferrugineus were estimated by age-stage, twosex life table software. After treatment with M. anisopliae isolate (Ma-M 2 ), lethal concentration (LC 50 ) 1.2 × 10 6 spores/mL was determined against R. ferrugineus 3rd instar grubs. M. anisopliae infected grubs showed reduced net reproductive rate R o (75.55) and mean generation time T (113.886 days) and intrinsic rate of increase r (0.03797) compared to the untreated group. Also, adult longevity of males and females were significantly reduced in the M. anisopliae-infected group (F 1 ) as compared to the untreated group. Trans-generational studies revealed that grubs stage duration (69.34 days) and fecundity (181.32 eggs) of the M. anisopliae-infected group (F 1 ) were decreased compared to the untreated group. The use of lasting and adverse effects on the biological parameters of R. ferrugineus, indicate that treatment with EPF may provide an eco-friendly management strategy for this pest.

Incorporating Anti-Windup Gain in Improving Stability of Actuator Constrained Linear Multiple State Delays Systems

Abrar Ahmed,Muhammad Rehan,Naeem Iqbal 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.4

This paper proposes the design of anti-windup compensator gain for improving stability of actuator input constrained linear multiple state delays systems. The system state delays are classified into mixed delay-dependent/delay-independent analysis and described by delay-differential equations. The real scalar delays are assumed to be fixed and unknown, but with known coefficient matrices. It is shown that the closed-loop system containing the controller plus the anti-windup gain can be modeled as a linear system with dead-zone nonlinearity. The formulation of anti-windup compensator gain is based on convex optimization using linear matrix inequalities (LMI) that ensure closed-loop asymp-totic stability of the system while accounting upper-bound delays. The devised LMIs based on Lyapunov-Krasovskii functionals prove significantly less conservative in giving higher upper bounds delays in the formulation of anti-windup gain besides ensuring closed-loop asymptotic stability.