PYDIRAJU YALAMANCHI
Vizianagaram
Overview
11
11
years of professional experience
1
1
Certification
Work History
SENIOR ENGINEER
Quest Global Engineering Services Private Limited
03.2024 - Current
- Carbon Capture and Storage (CCS) Project for CO2 Injection and Storage: Leading efforts to evaluate and estimate petrophysical properties crucial for identifying suitable geological zones for CO2 injection and long-term storage. This includes a detailed analysis of subsurface formations to ensure their viability as secure storage sites.
- Well Log Data Conditioning, Splicing, and Merging: Performing comprehensive conditioning, splicing, and merging of well log data as a foundational step in the petrophysical evaluation process. This includes cleaning and aligning data from various sources to create a unified dataset that enhances the accuracy of subsequent petrophysical analysis.
- Estimation of Petrophysical Properties: Utilizing well log data to estimate key petrophysical properties, such as Volume of Shale (VSH), porosity, and permeability, iscritical for assessing the storage capacity and sealing integrity of potential CO2 reservoirs.
- Identification of Suitable Injection Zones: Integrating petrophysical data and analysis to identify and delineate optimal geological formations for CO2 injection. This involves evaluating the storage potential and ensuring the containment of injected CO2 for long-term environmental and operational safety.
SENIOR RESEARCH SCHOLAR
SRF, IIT(ISM) Dhanbad
12.2017 - 03.2024
- Company Overview: IIT(ISM) Dhanbad, India
- Research Experience: Area Of Interest: Petrophysics, Seismic Processing and Interpretation, Pore structure characterization, and reservoir characterization using well log and seismic data
- Obtain the petrophysical properties and calculate hydrocarbons in place of carbonate reservoir using conventional well log data, core samples, SEM images, and seismic data
- Develop and implement the petrophysical models to evaluate and interpret reservoir properties like porosity, permeability, fluid saturation, and lithology discrimination by using the dataset from well logs, core samples, SEM images, and seismic data
- Conduct the pore structure analysis and fluid flow characteristics of the carbonate reservoir through SEM images of carbonate samples using Machine Learning algorithms and LBM simulation
- Apply advanced machine learning (ML) algorithms such as MLP-ANN, LSSVM, DTR, MLR, and ensemble machine learning algorithms to evaluate carbonate reservoirs' petrophysical and geomechanical properties for hydrocarbon exploration
- Performing a Seismic structural Interpretation, including a fault and horizon interpretation on real seismic data, and producing a structural model as inputs for static model building using Schlumberger petrel software
- Seismic-to-well calibration: Utilized VSP/check shot data for precise seismic-to-well calibration, ensuring accurate depth conversions and alignment of geological features
- Time/Depth Structure Mapping: I produced time/depth structure maps, providing valuable insights into subsurface geological structures and serving as essential inputs for static model building
- Well Correlation: Implemented to identify the lithological boundaries in different wells
- Seismic Data Processing: Worked on a CBM Project during my PhD
- Utilized specialized software, such as VISTA Desktop seismic data processing software, to execute seismic data processing tasks
- Conduct comprehensive quality control on seismic data, focusing on geometry setting, editing, and muting
- Prepare raw seismic data by implementing noise removal, filtering, and amplitude recovery correction to optimize data for subsequent analysis
- Executed deconvolution, velocity analysis, and NMO correction processes to enhance data positioning accuracy
- Performed stacking and migration procedures to refine further and improve the subsurface structures on seismic data
- IIT(ISM) Dhanbad, India
PROJECT ASSISTANT
National Geophysical Research Institute
Hyderabad
05.2013 - 05.2014
- Geophysical data acquisition using different methods like MASWA, seismic refraction, and resistivity profiling as a team member
- Performed work according to project schedules and established quality standards
- Worked with senior leadership to complete complex projects on time and under budget
Education
Ph.D. - Applied Geophysics, Machine Learning Applications in Petrophysics
IIT(ISM) Dhanbad
Dhanbad03.2024
MTech - Petroleum Exploration
IIT(ISM) Dhanbad
Dhanbad05.2017
M.Sc. (Tech) - Geophysics
Andhra University
Visakhapatnam05.2012
Skills
- Petrophysical data analysis
- Interpretation
- Reservoir characterization
- Schlumberger Petrel
- Techlog
- Geolog
- Technical writing
- Machine Learning in Petrophysics
- Seismic data processing and Structural Interpretation
Certification
- Machine learning Application in Petrophysics and Well logging by using Python and Schlumberger Techlog software, 2022, Online course: Petroleum Engineering Association
- Static and Dynamic reservoir modeling by using Schlumberger Petrel and Eclipse software, 2022, Online course: Reservoir Solutions Pvt. Ltd.
- Introduction to the Petrel Software: Seismic and Well log data loading, Data QC, Seismic Interpretation, and Well correlation, 2022, Online Course: Petroleum Engineering Association
- Petrophysical Analysis in Techlog, 2022, Online Course: Udemy
- Introduction to Machine Learning for Beginners (Data-Science), 2022, Online Course: Udemy
Softwareandprogrammingproficiency
- Schlumberger Petrel
- Techlog
- Geolog
- Surfer
- MATLAB
- Python
Conferences
- Capturing Uncertainties of Water Saturation for formation evaluation, Diamond Jubilee Conference on 'Emerging Trends in Geophysical for Make-In-India', 03/09/18, IIT(ISM), Dhanbad, India
- Determination of Geomechanical Properties of Carbonate reservoir by using wireline well log data, Rajasthan Basin, India, FIGA (Federation of Indian Geosciences Association), 10/13/19, CSIR-NGRI Hyderabad
- Pore structure analysis and Permeability Prediction by using Fractal Theory based on 2D SEM images of carbonate samples, 58th Annual Convention of Indian Geophysical Union, 02/02/22, North-Eastern Hill University, Shillong, India
- Shear wave velocity (Vs) prediction by using different Machine Learning Techniques and Compression with empirical Relationships, International Conference on Advances in Science of the Earth: Relevance to the Society, 11/24/22, SRTM University, Nanded, India, best Oral Presentation
Publications
- Selection of a Suitable Rock Mixing Method for Computing Gardner's Constant Through a Machine Learning (ML) Approach to Estimate the Compressional Velocity: A study from the Jaisalmer sub-basin, India, Yalamanchi, P. and Datta Gupta, S., Pure Appl. Geophys., 178, 1825-1844, 2021, https://doi.org/10.1007/s00024-021-02733-y
- Estimation of Pore Structure and Permeability in Tight Carbonate Reservoir Based on Machine Learning (ML) Algorithm Using SEM Images of Jaisalmer sub - Basin, India, Yalamanchi, P. and Datta Gupta, S., Scientific reports, 2024, https://doi.org/10.1038/s41598-024-51479-9
- Understanding of Geomechanical Parameters in Caprock Integrity Assessment towards Evaluation of Potential CO2 Sequestration in Jaisalmer Basin, India, Shiwani Verma, K., Yalamanchi, P and Datta Gupta, S., Journal of Earth System Science, under revision
- Using rock physics analysis driven feature engineering in ML-based shear slowness prediction using logs of wells from different geological setup, Chakraborty; S., Datta Gupta, S., Devi, V and Yalamanchi, P., Acta Geophysica, 2024, https://doi.org/10.1007/s11600-023-01266-3
- Evaluating the Effectiveness of Ensemble Machine Learning Approaches for Pore Pressure Prediction Using Petrophysical Log Data in Carbonate Reservoir, Yalamanchi, P. and Datta Gupta, S., Acta Geophysica, Under Review, 2024
Languages
Telugu
First Language
English
Advanced (C1)
C1
Hindi
Upper Intermediate (B2)
B2
Timeline
SENIOR ENGINEER
Quest Global Engineering Services Private Limited
03.2024 - Current
SENIOR RESEARCH SCHOLAR
SRF, IIT(ISM) Dhanbad
12.2017 - 03.2024
PROJECT ASSISTANT
National Geophysical Research Institute
05.2013 - 05.2014
Ph.D. - Applied Geophysics, Machine Learning Applications in Petrophysics
IIT(ISM) Dhanbad
MTech - Petroleum Exploration
IIT(ISM) Dhanbad
M.Sc. (Tech) - Geophysics
Andhra University