Flowchart of the artificial bee colony algorithm.

Flowchart of the artificial bee colony algorithm.

<div><p>Porosity is a key parameter for evaluating reservoir performance, but high-precision prediction is highly challenging in complex shale reservoirs due to the strong heterogeneity of the formation and the highly nonlinear relationship between logging parameters and porosity. Tradit...

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Bibliographic Details
Main Author: Wei Su (89824) (author)
Other Authors: Jie Gao (10266) (author), Wensheng Wu (703888) (author), Haoyu Zhang (1783690) (author)
Published: 2025
Subjects:
Molecular Biology
Ecology
Cancer
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
performing reservoir evaluations
low generalization ability
gamma ray log
evaluating reservoir performance
best predictive performance
physical models often
highly nonlinear relationship
true porosity curve
intelligent optimization algorithm
lssvm model exhibits
div >< p
optimization algorithm
comparison models
optimization model
highly consistent
highly challenging
study proposes
strong heterogeneity
significantly higher
section index
results show
r </
proposed model
prediction results
precision prediction
porosity prediction
pe ),
lssvm model
key parameter
inertia weights
hybrid model
gbdt ),
gas exploration
findings demonstrate
driven methods
determination (<
complex formations
acceleration coefficients
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