This assumption causes the model to predict a constant oil production rate, which is not closely the case in reality.
The violation of the data independence assumption causes an increasing in the false alarms rate and the quality costs of the traditional process monitoring tools.
An unwillingness to accept apocryphal (noncanonical and unauthentic) accounts of the Assumption caused some hesitation, but by the end of the European Middle Ages there had been a general acceptance of the notion in both the East and the West.
It is shown quantitatively that a persistent discontinuity network assumption causes over-fragmentation of predicted blocks, overestimation of key blocks, and underestimation of the largest key block volume compared with non-persistent ones.
The full independent assumption caused the small class underestimation problem.
Choice of the point assumption causes a problem: the point matters are not compatible with general relativity, because it creates black hole (a spherical matter distribution with the fixed mass and charge when its radius vanishes becomes a black hole).
This assumption causes the waste percentage to be higher, but possibly only temporarily; as new demands are received and new parts are cut from the waste, the waste percentage decreases. .
A close match is obtained between recorded and modeled downhole data, however, in some cases either the initial torsional strain in the drillstring is not known or axial motion is initiated, which violates model assumptions, causing a mismatch.
In conclusion, violation of one of the above HWE assumptions causing HWD is unlikely.
Such intuitive processing of the data can be quick and effective, but it may also lead to the use of unjustified assumptions, causing an incorrect ranking of options.
Such intuitive processing of the data can be quick and effective, but it may also lead to the use of unjustified assumptions, causing incorrect ranking of options [ 42].
