Abstract
AbstractUnambiguously determining irreducible water saturation $$\left({S}_{\rm{wirr}}\right)$$
S
wirr
poses a formidable challenge, given the availability of multiple independent methods. Traditional approaches often depend on semi-experimental relationships derived from simplified assumptions. These methods, originally designed for oil sandstone reservoirs, result in varying $${S}_{{\text{wirr}}}$$
S
wirr
values when employed in carbonate gas reservoirs. Nuclear magnetic resonance (NMR) is the most advanced technique for determining $${S}_{{\text{wirr}}}$$
S
wirr
. While highly accurate, the NMR-based method necessitates the laboratory measurement of the transverse relaxation time $$\left({T}_{2}\right)$$
T
2
cutoff. Laboratory-based $${T}_{2}$$
T
2
cutoff determination is resource-intensive and time-consuming. This research aims to develop a robust model for determining $${S}_{{\text{wirr}}}$$
S
wirr
in carbonate gas reservoirs by utilizing NMR well logging measurements and special core analysis (SCAL) tests. Various $${T}_{2}$$
T
2
cutoff values were initially employed to compute bound water saturation $$\left({S}_{{\text{bw}}}\right)$$
S
bw
at different depths to achieve this. Subsequently, the data points $$\left({T}_{2}, {S}_{{\text{bw}}}\right)$$
T
2
,
S
bw
were graphed on a scatter plot to unveil the relationship between $${S}_{{\text{bw}}}$$
S
bw
and $${T}_{2}$$
T
2
. The scatter plot illustrates an exponential decrease in $${S}_{bw}$$
S
bw
with increasing $${T}_{2}$$
T
2
, forming the basis for the $${S}_{{\text{wirr}}}$$
S
wirr
model derived from this relationship. Finally, the parameters of the $${S}_{{\text{wirr}}}$$
S
wirr
model were fine-tuned using SCAL tests. Notably, this $${S}_{{\text{wirr}}}$$
S
wirr
model not only accurately yields $${S}_{{\text{wirr}}}$$
S
wirr
at each depth but also offers a dependable determination of the optimal $${T}_{2}$$
T
2
cutoff for the reservoir interval.
Publisher
Springer Science and Business Media LLC