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About this blog

I started this blog to express what I sense about the highs and lows of the oil realm, while cautiously analysing historical data, taking into account the geo-political development at the time of recording them.

I got into this field, having been a passive observer of fluctuations of crude oil prices and their global consequences for years.

Then, when on the day of Great Oil Crash in April, 2020, I made a decision to make my own blog, with the motto, ‘analysing data that really matters’.

Having come from an academic background in mathematics and physics, I analyse data using my own tools, created with JavaScript and Python, taking my decision on board while making decisions.

My website where I analyse data that really matters

Entries in this blog

 

Climate activist investor Arjuna Capital withdraws ExxonMobil shareholder proposal with promises to “back off”

While Arjuna Capital had already withdrawn the shareholder proposal to accelerate greenhouse-gas emissions cuts that was at issue in the lawsuit, the firm went further in a letter that was sent to Exxon and filed with a Texas court, saying it “unconditionally and irrevocably” promised not to submit any more proposals related to emissions or climate change to Exxon shareholders. View the full article
 

Shell, Petrobras, partners pioneer “on demand” ocean boom node monitoring project offshore Brazil

Using Sonardyne’s proprietary optical and acoustic communications technologies, and drawing on its extensive experience of seabed monitoring, OD OBN expects to provide a versatile, lower cost, more resilient solution for time-lapse seismic and subsidence monitoring of producing reservoirs with better data and the capacity to be placed on the ocean floor for up to five years without human intervention. View the full article

hemanthaa@mail.com

hemanthaa@mail.com

 

Wintershall Dea to deploy Halliburton’s “industry first” drilling solution offshore Norway

UEM is an innovative approach that, for the first time, simultaneously integrates static and dynamic data in real time to represent subsurface conditions across multiple scales. This method improves the accuracy of reservoir models by consistently incorporating geologic uncertainties, making UEM vital to optimize reservoir recovery under uncertainty. View the full article