First Integrated Sand Prevention Approach: Best Practices and Successful Lessons Learned from Deepwater Vashishta and S1 Gas Fields, East Coast of India

2018 ◽  
Author(s):  
Kutbuddin Bhatia ◽  
Rajarshi Ray ◽  
John Davis
Keyword(s):  
Best Practices ◽  
East Coast ◽  
Lessons Learned ◽  
East Coast Of India ◽  
Gas Fields ◽  
Prevention Approach

scholarly journals Exploring in Asia, Africa and the Americas for oil & gas in naturally fractured basement reservoirs: best practices & lessons learned

Georesursy ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. 10-18 ◽  
Author(s):  
Tako Koning
Keyword(s):  
Best Practices ◽  
Oil And Gas ◽  
Lessons Learned ◽  
Reservoir Rock ◽  
Gas Reservoirs ◽  
Rock Types ◽  
Oil And Gas Fields ◽  
Basement Rocks ◽  
Basement Reservoirs ◽  
Gas Fields

Basement rocks are important oil and gas reservoirs in a number of basins in the world. The basement oil and gas play has intensified in the past decade with significant basement discoveries. This paper provides a technical review of select basement oil and gas fields in Asia, Africa and the Americas. “Best practices” for exploring and developing basement fields are reviewed. Failures are also considered since basement reservoirs can be very complicated and unpredictable. Preference scale for basement reservoir rock types is presented. The opinion of this author is that the best rock types are fractured quartzites or granites since they are brittle and thus fracture optimally. Based on international experience, recommendations on the study of crystalline basement for oil and gas and the development of deposits in it are given.

The Art of Deploying Data Mining and Machine Learning in Developing and Managing Deepwater Turbidite Gas Assets

2021 ◽  
Author(s):  
Edo Pratama
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Best Practices ◽  
Field Data ◽  
Query Language ◽  
Field Performance ◽  
Lessons Learned ◽  
Support Vector ◽  
Gas Field ◽  
Gas Fields

Abstract Many oil and gas operators have challenges in deepwater turbidite gas asset's reservoir management plan (RMP) readiness due to lack of experience and very limited analog field data. The objective of this article is to demonstrate how data analytics workflow, comprising of data mining and machine learning-based global deepwater turbidite gas field benchmarking and lessons learned, to identify field performance and mitigate subsurface challenges in developing and managing deepwater turbidite gas assets. To mine turbidite field data from around the world, a customized R script was constructed using optical character recognition, regular expression (regex), rule-based logic to extract subsurface and surface data attributes from unstructured data sources. All extracted contents were transformed into a properly structured query language (SQL) database relational format for the cleansing process. Having established the turbidite assets repository, exploratory data analysis (EDA) was then employed to discover insight datasets. To analyze the field performance, the number of wells needed to deplete the field was identified using support vector regression, subsequently, K-means clustering was used to classify the reservoirs productivity. The results of field benchmarking analysis from EDA are deployed in a fit-for-purpose dashboard application, which provides an elegant and powerful framework for data management and analytics purposes. The analytic dashboard which was developed to visualize EDA findings will be presented in this article. The productivity of deepwater turbidite gas reservoirs has been classified based on the maximum gas flow rate and estimated ultimate recovery per well. This result help in identifying the high-rate, high-ultimate-recovery (HRHU) reservoirs of a deepwater turbidite gas field. The regex pattern for subsurface challenges specifically as related to reservoir uncertainties and associated risks, including operational challenges in developing and managing deepwater turbidite gas fields were identified through word cloud recognition. Key subsurface challenges were then categorized and statistically ranked, finally, a decomposition tree was used to identify the issues, impacts, and mitigation plan for dealing with identified risks based on best practices from a global project point of view. Deployment of this novel workflow provides insight for better decision-making and can be a prudent complementary tool for de-risking subsurface uncertainties in developing and managing deepwater turbidite gas assets. The findings from this study can be used to develop the framework that captures current best-practices in the formulation and execution of a RMP including monitoring and benchmark of asset performance in deepwater turbidite gas fields.

New Records of Free-Living Marine Nematodes (Nematoda: Enoplida) from East Coast of India

2012 ◽  
Vol 2 (11) ◽  
pp. 517-520
Author(s):  
VIJAYA BHANU, CH VIJAYA BHANU, CH ◽  
◽  
ANNAPURNA, C ANNAPURNA, C ◽  
SRINIVASA RAO, M SRINIVASA RAO, M ◽  
SIVA LAKSHMI, M. V SIVA LAKSHMI, M. V ◽  
...  
Keyword(s):  
East Coast ◽  
New Records ◽  
Marine Nematodes ◽  
Free Living ◽  
East Coast Of India

Adapting Tactical Military Structures to the Current and Future Operational Environments

2020 ◽  
Vol 26 (1) ◽  
pp. 157-162
Author(s):  
Paul Tudorache ◽  
Lucian Ispas
Keyword(s):  
Best Practices ◽  
Lessons Learned ◽  
Organizational Adaptation ◽  
Common Denominator ◽  
Military Operations ◽  
The Future ◽  
Military Units

AbstractUsing the lessons learned from recent military operations such as Operation Inherent Resolve (OIR) from Syria and Iraq, we proposed to investigate the need for tactical military units to adapt operationally to grapple with the most common requirements specific to current operational environments, but also for those that can be foreseen in the future. In this regard, by identifying the best practices in the field that can be met at the level of some important armies, such as USA and UK, we will try to determine a common denominator of most important principles whose application may facilitate both operational and organizational adaptation necessary for tactical military units to perform missions and tasks in the most unknown future operational environments.

Quantifying Carbonate Heterogeneities that Impact Flow in Reservoirs: Lessons Learned from the Central Luconia Gas Fields, Malaysia

2016 ◽  
Author(s):  
G. M. Warrlich ◽  
A. Ryba ◽  
E. Adams ◽  
T. Tam ◽  
E. C. Chiew ◽  
...  
Keyword(s):  
Lessons Learned ◽  
Central Luconia ◽  
Gas Fields

Mineralogy and geochemistry of the sediments in rivers along the east coast of India: Inferences on weathering and provenance

2021 ◽  
Vol 130 (2) ◽  
Author(s):  
Shaik Sai Babu ◽  
Venigalla Purnachandra Rao ◽  
Nannapaneni Satyasree ◽  
Ravipati Venkata Ramana ◽  
Mekala Ram Mohan ◽  
...  
Keyword(s):  
East Coast ◽  
East Coast Of India
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