Seismic Data Processing in Oil and Gas Exploration: Methods, Advances, and Innovations for Improving Exploration and Production Efficiencies.

References

[1] Abiola Olayinka Adams, Nwani, S., Abiola-Adams, O., Otokiti, B.O. & Ogeawuchi, J.C., 2020.Building Operational Readiness Assessment Models for Micro, Small, and Medium Enterprises Seeking Government-Backed Financing. Journal of Frontiers in Multidisciplinary Research, 1(1), pp.38-43. DOI: 10.541660/IJFMR.2020.1.1.38-43.

[2] Adams, A. O., Nwani, S., Abiola-Adams, O., Otokiti, B. O., & Ogeawuchi, J. C. (2020). Building Operational Readiness Assessment Models for Micro, Small, and Medium Enterprises Seeking Government-Backed Financing. Journal of Frontiers in Multidisciplinary Research, 1(1), 38–43. https://doi.org/10.54660/IJFMR.2020.1.1.38-43

[3] Adenuga, T., Ayobami, A.T. & Okolo, F.C., 2019. Laying the Groundwork for Predictive Workforce Planning Through Strategic Data Analytics and Talent Modeling. IRE Journals, 3(3), pp.159–161. ISSN: 2456-8880.

[4] Adenuga, T., Ayobami, A.T. & Okolo, F.C., 2020. AI-Driven Workforce Forecasting for Peak Planning and Disruption Resilience in Global Logistics and Supply Networks. International Journal of Multidisciplinary Research and Growth Evaluation, 2(2), pp.71–87. Available at: https://doi.org/10.54660/.IJMRGE.2020.1.2.71-87.

[5] Adewoyin, M.A., Ogunnowo, E.O., Fiemotongha, J.E., Igunma, T.O. & Adeleke, A.K., 2020.A Conceptual Framework for Dynamic Mechanical Analysis in High-Performance Material Selection. IRE Journals, 4(5), pp.137–144.

[6] Adewoyin, M.A., Ogunnowo, E.O., Fiemotongha, J.E., Igunma, T.O. & Adeleke, A.K., 2020.Advances in Thermofluid Simulation for Heat Transfer Optimization in Compact Mechanical Devices. IRE Journals, 4(6), pp.116–124.

[7] Adewuyi, A., Oladuji, T.J., Ajuwon, A. & Nwangele, C.R. (2020) ‘A Conceptual Framework for Financial Inclusion in Emerging Economies: Leveraging AI to Expand Access to Credit’, IRE Journals, 4(1), pp. 222–236. ISSN: 2456-8880.

[8] Ajuwon, A., Onifade, O., Oladuji, T.J. & Akintobi, A.O. (2020) ‘Blockchain-Based Models for Credit and Loan System Automation in Financial Institutions’, IRE Journals, 3(10), pp. 364–381. ISSN: 2456-8880.

[9] Akinbola, O. A., Otokiti, B. O., Akinbola, O. S., & Sanni, S. A. (2020). Nexus of Born Global Entrepreneurship Firms and Economic Development in Nigeria. Ekonomicko-manazerske spektrum, 14(1), 52-64.

[10] Akpe, O. E. E., Mgbame, A. C., Ogbuefi, E., Abayomi, A. A., & Adeyelu, O. O. (2020). Bridging the business intelligence gap in small enterprises: A conceptual framework for scalable adoption. IRE Journals, 4(2), 159–161.

[11] Akpe, O.E., Mgbame, A.C., Ogbuefi, E., Abayomi, A.A. & Adeyelu, O.O., 2020.Barriers and Enablers of BI Tool Implementation in Underserved SME Communities. IRE Journals, 3(7), pp.211-220. DOI:

[12] Akpe, O.E., Ogeawuchi, J.C., Abayomi, A.A., Agboola, O.A. & Ogbuefis, E. (2020) 'A Conceptual Framework for Strategic Business Planning in Digitally Transformed Organizations', IRE Journals, 4(4), pp. 207-214.

[13] Ashiedu, B.I., Ogbuefi, E., Nwabekee, U.S., Ogeawuchi, J.C. & Abayomis, A.A. (2020) 'Developing Financial Due Diligence Frameworks for Mergers and Acquisitions in Emerging Telecom Markets', IRE Journals, 4(1), pp. 1-8.

[14] Fagbore, O.O., Ogeawuchi, J.C., Ilori, O., Isibor, N.J., Odetunde, A. & Adekunle, B.I. (2020) 'Developing a Conceptual Framework for Financial Data Validation in Private Equity Fund Operations', IRE Journals, 4(5), pp. 1-136.

[15] ILORI, O., LAWAL, C. I., FRIDAY, S. C., ISIBOR, N. J., & CHUKWUMA-EKE, E. C. (2020). Blockchain-Based Assurance Systems: Opportunities and Limitations in Modern Audit Engagements.

[16] Mgbame, A. C., Akpe, O. E. E., Abayomi, A. A., Ogbuefi, E., & Adeyelu, O. O. (2020). Barriers and enablers of BI tool implementation in underserved SME communities. IRE Journals, 3(7), 211–213.

[17] Nwani, S., Abiola-Adams, O., Otokiti, B.O. & Ogeawuchi, J.C., 2020.Designing Inclusive and Scalable Credit Delivery Systems Using AI-Powered Lending Models for Underserved Markets. IRE Journals, 4(1), pp.212-214. DOI: 10.34293 /irejournals.v 4i1.1708888.

[18] Odofin, O.T., Agboola, O.A., Ogbuefi, E., Ogeawuchi, J.C., Adanigbo, O.S. & Gbenle, T.P. (2020) 'Conceptual Framework for Unified Payment Integration in Multi-Bank Financial Ecosystems', IRE Journals, 3(12), pp. 1-13.

[19] Ogunnowo, E.O., Adewoyin, M.A., Fiemotongha, J.E., Igunma, T.O. & Adeleke, A.K., 2020.Systematic Review of Non-Destructive Testing Methods for Predictive Failure Analysis in Mechanical Systems. IRE Journals, 4(4), pp.207–215.

[20] Olufemi-Phillips, A. Q., Ofodile, O. C., Toromade, A. S., Eyo-Udo, N. L., & Adewale, T. T. (2020). Optimizing FMCG supply chain management with IoT and cloud computing integration. International Journal of Managemeijignt & Entrepreneurship Research, 6(11), 1-15.

[21] Omisola, J. O., Chima, P. E., Okenwa, O. K., & Tokunbo, G. I. (2020). Green Financing and Investment Trends in Sustainable LNG Projects A Comprehensive Review. Unknown Journal.

[22] Omisola, J. O., Etukudoh, E. A., Okenwa, O. K., & Tokunbo, G. I. (2020). Innovating project delivery and piping design for sustainability in the oil and gas industry: A conceptual framework. perception, 24, 28-35.

[23] Omisola, J. O., Etukudoh, E. A., Okenwa, O. K., & Tokunbo, G. I. (2020). Geosteering Real-Time Geosteering Optimization Using Deep Learning Algorithms Integration of Deep Reinforcement Learning in Real-time Well Trajectory Adjustment to Maximize. Unknown Journal.

[24] Omisola, J. O., Etukudoh, E. A., Okenwa, O. K., Olugbemi, G. I. T., & Ogu, E. (2020). Geomechanical Modeling for Safe and Efficient Horizontal Well Placement Analysis of Stress Distribution and Rock Mechanics to Optimize Well Placement and Minimize Drilling. Unknown Journal.

[25] Omisola, J. O., Shiyanbola, J. O., & Osho, G. O. (2020). A predictive quality assurance model using lean six sigma: Integrating FMEA. SPC, and root cause analysis for zero-defect production systems.

[26] Osho, G. O., Bihani, D., Daraojimba, A. I., Omisola, J. O., Ubamadu, B. C., & Etukudoh, E. A. (2020). Building scalable blockchain applications: A framework for leveraging Solidity and AWS Lambda in real-world asset tokenization. Unknown Journal.

[27] Osho, G. O., Omisola, J. O., & Shiyanbola, J. O. (2020). A Conceptual Framework for AI-Driven Predictive Optimization in Industrial Engineering: Leveraging Machine Learning for Smart Manufacturing Decisions. Unknown Journal.

[28] Osho, G. O., Omisola, J. O., & Shiyanbola, J. O. (2020). An Integrated AI-Power BI Model for Real-Time Supply Chain Visibility and Forecasting: A Data-Intelligence Approach to Operational Excellence. Unknown Journal.

[29] Oyedokun, O.O., 2019.Green Human Resource Management Practices (GHRM) and Its Effect on Sustainable Competitive Edge in the Nigerian Manufacturing Industry: A Study of Dangote Nigeria Plc. MBA Dissertation, Dublin Business School.

[30] Sharma, A., Adekunle, B.I., Ogeawuchi, J.C., Abayomi, A.A. & Onifade, O. (2019) 'IoT-enabled Predictive Maintenance for Mechanical Systems: Innovations in Real-time Monitoring and Operational Excellence', IRE Journals, 2(12), pp. 1-10.

@article{1709676,
      author = {Nyaknno Umoren, Malvern Iheanyichukwu Odum, Iduate Digitemie Jason, Dazok Donald Jambol},
      title = {Seismic Data Processing in Oil and Gas Exploration: Methods, Advances, and Innovations for Improving Exploration and Production Efficiencies.},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {4},
      number = {3},
      pages = {169-179},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709676.pdf},
      abstract = {Seismic data processing has emerged as a cornerstone of oil and gas exploration, enabling enhanced imaging and interpretation of subsurface geological structures. Recent technological innovations have transformed conventional workflows by integrating artificial intelligence (AI), machine learning, and predictive analytics to optimize seismic signal clarity, reduce noise, and extract critical geological features. In particular, the adoption of real-time geosteering, deep learning models, and IoT-enabled systems has accelerated the detection of hydrocarbon-bearing formations and improved drilling accuracy. This paper reviews contemporary methods and advances in seismic data acquisition, processing, and interpretation, with a focus on the practical application of AI-driven models in exploration campaigns. Drawing from recent frameworks and predictive maintenance strategies, it highlights how data intelligence tools are reshaping seismic workflows for greater efficiency and reduced operational risks. By exploring case studies and conceptual frameworks from Nigeria?s oil and gas industry, the review underscores the pivotal role of innovative data technologies in enhancing exploration success and maximizing production outcomes.},
      keywords = {Seismic Data Processing, Predictive Analytics, Oil and Gas Exploration, Machine Learning, Real-Time Geosteering, Data-Driven Interpretation.},
      month = {September},
  }