BUG: Memory leaks when read las file

Hi,

I noticed that when I try to read many LAS files in loop the memory leaks is significant. I use the following code:

from welly import Well
from os import listdir
from os.path import isfile, join


p = r'/some/path'
files = [f for f in listdir(p) if isfile(join(p, f))]

for f in files:
    if f.startswith('.'):
        continue
    w = Well.from_las(p + '/' + f, index='meter')

As input data I use Teapot Dome

I’m not sure whether the leaking module is welly or lasio but I decided to report it here as I use welly.

Welly version: 0.4.10 Python: 3.6.7 Ubuntu 20.04

[kinverarity1]

@kerim371 please feel free to open this issue on the lasio tracker. Clearly not a welly issue.

[kwinkunks]

Indeed, you cannot delete an item from a project – I have fixed this in the develop branch, it will be in the next release.

It occurs to me that del is not guaranteed to actually remove things from memory, only from the namespace. To remove from memory, I think you need to invoke the garbage collector explicitly. See https://docs.python.org/3/library/gc.html