Mohit Mathur

Resolving near‐seabed velocity anomalies: Deep water offshore South East India

Juergen Fruehn Ian F. Jones V. Valler Pranaya Sangvai Ajoy Biswal

Imaging in deep water environments poses a specific set of challenges, both in the data pre‐conditioning and the velocity model building. These challenges include scattered complex 3D multiples, aliased noise, and low velocity shallow anomalies associated with channel fills and gas hydrates. In this paper, we describe an approach to tackling such problems for data from deep water off the north east coast of India, concentrating our attention on iterative velocity model building, more specifically the resolution of near surface and other velocity anomalies. In the region under investigation, the velocity field is complicated by narrow buried canyons (500 m wide) filled with low velocity sediments which give rise to severe pull‐down effects; possible free gas accumulation below an extensive gas hydrate cap, producing dimming of the image below (perhaps as a result of absorption); and thin channel bodies with low‐velocity fill. Hybrid gridded tomography using a conjugate gradient solver (with 20 m vertical cell size) is used to resolve small scale velocity anomalies (with thicknesses of about 50m). Manual picking of narrow channel features is used to define bodies too small for the tomography to resolve. Pre‐stack depth migration using a velocity model built using a combination of these techniques was able to resolve pull‐down and other image distortion effects in the final image. The resulting velocity field shows high resolution detail useful in identifying anomalous geobodies of potential exploration interest.

Seabed

10.1190/1.3064097

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Citations (0)

Simulation Modelling of Cloud Mini and Mega Data Centers Using Cloud Analyst

International Journal on Recent and Innovation Trends in Computing and Communication (2023)

Mohit Mathur

Cloud Computing has now become a base technology for various other technologies including Internet of Things, Big Data Technologies and many other technologies, the responsibility of Cloud become critical in case of real time applications where the cloud services are required in real time. Delay in the response from Cloud may lead to serious consequences even loss of lives where the processes data from cloud must reach within predefined time interval. The performance of Cloud has experienced delays with the current infrastructure due to multiple issues in Traditional Cloud Network Model. The Paper suggests a proposed architecture Cloud Mini Data Centers simulated using Cloud Analyst to minimize the delays of Cloud Service delivery. The paper also simulate traditional cloud Network model using Cloud Analyst and provides a comparative study of both models.

10.17762/ijritcc.v11i10.8614

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Deep water pre-processing: East Coast India

First Break (2008)

Patrick J. Smith I.F. Jones D. King Pranaya Sangvai A. Biswal

Phil Smith, Ian F. Jones, Dave King, Pranaya Sangvai, Ajoy Biswal and Mohit Mathur discuss the challenge involved in processing seismic data in a complex environment focusing on the importance of pre-processing along with a briefer review of the velocity modelling and depth imaging strategy involved.

Economic geology

Palaeogeography

Data Processing

Environmental geology

East coast

10.3997/1365-2397.26.1119.27998

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Citations (4)

In-Situ Stress Test Data – Revelation to Optimization of Stimulation Strategy of an Unconventional Reservoir

SPE Asia Pacific Oil and Gas Conference and Exhibition (2013)

Anish Gupta Manabesh Chowdhury Mohit Mathur Aditya Ojha Sourabh Shukla

Abstract Characterization of in-situ stress is critical for fracture modeling and developing low permeability reservoirs. An optimum stimulation strategy is required to achieve and sustain the economically viable production from such reservoirs with hydraulic fracturing on the basis of robust formation stress information and modeling. The Barmer Basin is situated in Western part India in the state of Rajasthan. Though the main prolific reservoir is Fatehgarh Formation, in northern part of the basin the shallower low permeability Barmer Hill (BH) Formation also contains significant hydrocarbon resources. The reservoir is a finely laminated siliceous unit of probable diatomitic origin with high porosity (25- 35%) but low mobility (0.01-0.3 mD/cp). Hydraulic fracturing has been established the key to develop this reservoir. An integrated formation evaluation was undertaken in Mangala Field to address the uncertainty in the in-situ stress properties of different units of the reservoir. Wireline formations tester’s dual packer module was used to measure the in-situ stress in several zones of the Barmer Hill and shallower Dharvi Dunger formations using the micro-frac technique. The shallower Dharvi Dunger (DD) Formation was also a part of the stress testing to achieve the well integrity and confirming as a frac containment unit for Barmer Hill frac growth. In-situ stress data was successfully acquired and profiling in the wells X and Y quantified and proved that a significant stress contrast exists among several layers of the BH and DD Formations. This critical information may lead to the revision of the planned hydraulic fracturing design wherein earlier assumption was less stress heterogeneity in different units. The results obtained were used to calibrate and update the frac model by developing an in-house stress correlation to quantify proper frac growth. This procedure and application can be applied in successful exploitation strategy for other low permeability unconventional reservoirs.

Wireline

Stress field

10.2118/165894-ms

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Citations (3)

Generation and hydrocarbon entrapment within Gondwanan sediments of the Mandapeta area, Krishna-Godavari Basin, India

Organic Geochemistry (2000)

Muhammad Saad Khan Ashish Sharma S. K. Sahota Mohit Mathur

10.1016/s0146-6380(00)00132-7

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Citations (14)

CSITime: Privacy-preserving human activity recognition using WiFi channel state information

Neural Networks (2021)

Santosh Kumar Yadav Siva Sai Akshay Gundewar Heena Rathore Kamlesh Tiwari

Activity Recognition

Channel state information

Benchmark (surveying)

10.1016/j.neunet.2021.11.011

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Citations (50)

A Proposed Architecture f or Placement of Cloud Data Centre in Software Defined Network Environment

International Journal of Engineering and Advanced Technology (2021)

Mohit Mathur Mamta Madan Mohit Saxena

Emerging technologies like IoT (Internet of Things) and wearable devices like Smart Glass, Smart watch, Smart Bracelet and Smart Plaster produce delay sensitive traffic. Cloud computing services are emerging as supportive technologies by providing resources. Most services like IoT require minimum delay which is still an area of research. This paper is an effort towards the minimization of delay in delivering cloud traffic, by geographically localizing the cloud traffic through establishment of Cloud mini data centers. The anticipated architecture suggests a software defined network supported mini data centers connected together. The paper also suggests the use of segment routing for stitching the transport paths between data centers through Software defined Network Controllers.

Image stitching

Data center

10.35940/ijeat.b3326.1211221

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Citations (1)

Resolving near‐seabed velocity anomalies: Deep water offshore South East India

Juergen Fruehn Ian F. Jones V. Valler Pranaya Sangvai Ajoy Biswal

Imaging in deep water environments poses a specific set of challenges, both in the data pre‐conditioning and the velocity model building. These challenges include scattered complex 3D multiples, aliased noise, and low velocity shallow anomalies associated with channel fills and gas hydrates. In this paper, we describe an approach to tackling such problems for data from deep water off the north east coast of India, concentrating our attention on iterative velocity model building, more specifically the resolution of near surface and other velocity anomalies. In the region under investigation, the velocity field is complicated by narrow buried canyons (500 m wide) filled with low velocity sediments which give rise to severe pull‐down effects; possible free gas accumulation below an extensive gas hydrate cap, producing dimming of the image below (perhaps as a result of absorption); and thin channel bodies with low‐velocity fill. Hybrid gridded tomography using a conjugate gradient solver (with 20 m vertical cell size) is used to resolve small scale velocity anomalies (with thicknesses of about 50m). Manual picking of narrow channel features is used to define bodies too small for the tomography to resolve. Pre‐stack depth migration using a velocity model built using a combination of these techniques was able to resolve pull‐down and other image distortion effects in the final image. The resulting velocity field shows high resolution detail useful in identifying anomalous geobodies of potential exploration interest.

Seabed

Clathrate hydrate

10.1190/1.3064027

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Citations (2)

A Satiated Method for Cloud Traffic Classification in Software Defined Network Environment

International Journal of Cloud Applications and Computing (2016)

Mohit Mathur Mamta Madan Kavita Chaudhary

With the advent of new technologies like software defined networking, cloud computing and Internet of Things, everything needs to be redefined. Software Define Networking (SDN) is the latest approach and an emerging network technology that will bring a major change in the area of networking. Though SDN has been successfully applied to most of the networking area but traffic classification is the area where it is yet to be applied. With the high adoption of cloud services, the traffic on cloud increased rapidly. The technologies need to be clubbed together so that they can survive in the rapidly changing environment. The paper aims at addressing the cloud traffic classification using Differential Services Code Point (DSCP) marking in software defined network environment. This allows us to identify cloud traffic separately from other web services and helps its traffic flows to be provided with special treatment over other internet services. The paper aims to classify cloud traffic along with suggesting some marking schemes to prioritize cloud traffic using DSCP of IP header.

Header

Traffic classification

Web traffic

10.4018/ijcac.2016040107

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Citations (2)

A Satiated Method for Cloud Traffic Classification in Software Defined Network Environment

IGI Global eBooks (2020)

Mohit Mathur Mamta Madan Kavita Chaudhary

With the advent of new technologies like software defined networking, cloud computing and Internet of Things, everything needs to be redefined. Software Define Networking (SDN) is the latest approach and an emerging network technology that will bring a major change in the area of networking. Though SDN has been successfully applied to most of the networking area but traffic classification is the area where it is yet to be applied. With the high adoption of cloud services, the traffic on cloud increased rapidly. The technologies need to be clubbed together so that they can survive in the rapidly changing environment. The paper aims at addressing the cloud traffic classification using Differential Services Code Point (DSCP) marking in software defined network environment. This allows us to identify cloud traffic separately from other web services and helps its traffic flows to be provided with special treatment over other internet services. The paper aims to classify cloud traffic along with suggesting some marking schemes to prioritize cloud traffic using DSCP of IP header.

Header

Web traffic

Traffic classification

10.4018/978-1-7998-3016-0.ch067

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Citations (1)

Papers

Citation

H-Index

i-10 index

Papers

Citation

H-Index

i-10 index