The following block is a set of warnings to inform about the processing we may have applied to the data shown.
When the symbol is coloured, it means the process has actually been applied to the current dataset selection, for example: if the symbols are coloured this way
...it means that, starting from left unit conversion is applicable, no interpolation has been applied and dilatation has been applied.
A block that looks like this:
...means only unit conversion process has been applied.
All data is loaded in Energy unit Mtoe (Million tons of oil equivalent)
The unit conversion factors applied are following:
How to read this graph : 1 Mtoe = 1,4286 Mtce
* “Tcf gas” and “bcm gas” are used as energy content units (like for mb/d). The calorific content taken into account results from a world average ratio between volume and energy content of dry gas production in 2009. As a result, the equivalent volume of gas displayed with two consecutive units conversions can be different from the original data (difference between “volume” which is an actual volume unit and “volume equivalent” which is an energy unit)
Mtoe stands for million tons of oil equivalent per year
mb/d stands for million barrels of oil equivalent per day
Mtce stands for millions tons of coal equivalent per day
Tcf gas stands for trillion cubic feet of gas equivalent* per year
bcm gas stands for billion cubic meters of gas equivalent* per year
TWh stands for terawatthours per year
Gbl/yr stands for billion barrels of oil equivalent per year
TJ stands for terajoule (10^12 joules)
EJ stands for exajoule (10^18 joules)
Remark : we take 1toe = 7.2 boe
Here is an example of linear interpolation process where we add missing data point between two existing ones. We do never extrapolate data out of the original time range.
This modification consists in multiplying all numbers of a given series by the same factor so that the values are made consistent with another statistical series for instance. The year at which the junction is made, or so called "pivot" year, is important because it determines the dilatation coefficient factor. The dilatation coefficients are detailed in dataset-specific “More Info” pages.
When data is redundant over a certain time frame, the pivot year is choosen in order to minimize the distance between fixed data and dilated data over the period.
Here is an explicit example of dilatation process: