Many horizontal wells produce both oil and brine for an extended period of
time and, therefore, in many cases the problem of mineral scale deposition
must be solved. Scale management in long horizontal wells faces several cha
llenges, a major one being the correct placement of the scale inhibitor slu
g in the formation. Accurate placement is required to ensure that vulnerabl
e well sectors are treated, without wasting chemical in the protection of z
ones which will not cut water during the lifetime of the squeeze treatment.
This paper presents results from a novel nearwellbore simulator (ASSIST2),
which is used to model scale inhibitor treatments in horizontal wells. A te
chnique for modeling such treatments has been developed which gives an impr
oved understanding of where the chemical will be placed under different inj
ection strategies, and how the placement will impact the squeeze life. It a
lso allows the engineer to assess the impact of varying such parameters as
inhibitor slug volume and concentration, overflush volume, injection rate,
etc. Different inhibitor chemicals can be compared for their performance un
der the given reservoir conditions.
This technique has been applied to model a squeeze treatment in a horizonta
l well where good production data are available. Connection oil and water f
low rates, calculated by a full-field simulation model, have been matched b
y ASSIST2. Various treatment designs were tested to assess the impact of th
e controllable parameters listed above. Findings enabled a treatment to be
specified that was predicted to increase the squeeze lifetime without incre
asing the volume of chemical required. This modeled application strategy wi
ll also reduce the initial inhibitor concentration spike in the return curv
e. The performance of various chemicals under reservoir flow conditions was
modeled, with a clear best choice emerging from these studies.
Based on the findings of this modeling work, recommendations were made for
a squeeze treatment, which were implemented, and the resulting field data a
re presented.