This invites a manufacturing approach to project management, putting an emphasis
on honing down the cost of drilling each well. We focus on lowering drilling costs,
providing an integrated suite of tools that help plan, monitor and measure activities
and resources consumed during the drilling operation. This information is stored
centrally and can then be reconstructed and viewed in context.
Well plans are iteratively revised as site and geological information accumulates.
We focus on lowering the time, cost and skill required to update these critical
variables (such as collar/target coordinates, target seam elevation etc.). Well
plans can be generated manually or automatically and once created will self-adapt
and conform to the changing spatial model. Each plan can be stored as a pro-forma
design that can be used cookie cutter style in subsequent operations.
Additionally our spatial model can be made to mimic the clients own in-house geo-model
by receiving control grids from reservoir modelling software such as Schlumberger’s
Petrel. Meantime the native model is continually updated in near real time with
data generated from our field data collection systems. These data can then be sent
back to update the client’s geological model.
Once raw data flowing from one or more drilling operations has been stored into
the central repository they can be reconstructed then viewed and analysed by geologists
and engineers using our engineering analysis and visualisation tools. For example
a seam intersection point can be interpreted from survey, gamma and offset data
for seam picks. Once authorised, a pick will update the geo-model which will in-turn
update any plan that may intersect that seam.
Enspec systems enforce a regular procedural work flow where data is stored then
scrutinised and retrieved in a consistent and repeatable manner across all operations.
Drilling and steering contractors must conform to standards and procedures set by
the energy company via the system rather than the other way round. Knowledge and
skills gained over time are retained in-house so mistakes are not made twice and
operational efficiency can be measured and incrementally improved.