They say that <strong>"Timing is everything"</strong>, so why is now the right time for RightTime?

Well, we believe there is the opportunity to create a <strong>world-class Oil & Gas digital oilfield software platform</strong> here in Perth because of the confluence of three separate industry waves that are all merging together in Western Australia at this very point in time. Let's look at each of these waves individually:

<H1>1) Western Australia is set to become the global capital of LNG production</H1>
Over the next three years, Chevron's <strong>Gorgon</strong> and <strong>Wheatstone</strong> projects, Shell's <strong>Prelude FLNG</strong> project and INPEX's <strong>Ichythys</strong> project all come on stream. These build on top of the ongoing <strong>North West Shelf</strong> venture led by Woodside, and combine to make Western Australia the single biggest LNG producing region in the world. Perth will become a major oil & gas centre, at the top table with the likes of Aberdeen and Houston.

<H1>2) A maturing of Digital Oilfield technologies</H1>
While oil and gas operators, led by Shell and Statoil, have deployed computerised systems since the 1970s it has only been since the turn of this century that these technologies have developed to the extent where workflows can sufficiently integrate across systems and functional groups to provide useful decision support in real-time. Over the past 10 years Integration and Visualisation technologies have become mainstream and industry-wide 'lessons learned' have become available to assist operators as they navigate the difficulties of development and adoption of these complex systems.

<H1>3) The rise of Data Science: Big Data, Machine Learning & AI</H1>
Led by companies such as Google, Tesla and Amazon, there has been a seismic shift in the use of advanced data science to generate insight. While there is a common misconception within oil and gas IT departments that they are <em>already</em> engaged in Big Data (as opposed to what they are really doing; just batch processing 'lots of data'), there are now case-studies and documented research available into how machine learning can enhance decision making and add real value to the bottom line.

