dlisio

name	dlisio
description	Read and parse DLIS (Digital Log Interchange Standard) and LIS (Log Information Standard) well log files. Use when Claude needs to: (1) Read/parse DLIS or LIS files, (2) Extract well log curves as numpy arrays, (3) Access file metadata and origin information, (4) Handle multi-frame or multi-file DLIS, (5) Convert DLIS to LAS or DataFrame, (6) Work with RP66 format well logs, (7) Process array or image log data.
version	1.0.0
author	Geoscience Skills
license	MIT
tags	["Well Logs","DLIS","RP66","Data I/O","Dlisio","Petrophysics","LIS","Wireline"]
dependencies	["dlisio>=0.3.0"]
complements	["welly","petropy","striplog"]
workflow_role	data-loading

dlisio - DLIS/LIS File Reader

Quick Reference

import dlisio

# Open DLIS file (returns generator of logical files)
with dlisio.dlis.load('well.dlis') as (f, *rest):
    frame = f.frames[0]
    curves = frame.curves()

    # Access by channel name
    depth = curves['DEPTH']
    gr = curves['GR']

    # File metadata
    for origin in f.origins:
        print(origin.well_name, origin.field_name)

Key Classes

Class	Purpose
PhysicalFile	Container returned by dlis.load()
LogicalFile	Independent dataset within physical file
Frame	Group of channels with common sampling
Channel	Individual log curve with metadata
Origin	Well and file metadata

Essential Operations

Read Curves to DataFrame

import pandas as pd

with dlisio.dlis.load('well.dlis') as (f, *_):
    frame = f.frames[0]
    curves = frame.curves()
    df = pd.DataFrame(curves)
    df.set_index('DEPTH', inplace=True)

Access Channel and Origin Metadata

with dlisio.dlis.load('well.dlis') as (f, *_):
    # Origin metadata
    for origin in f.origins:
        ()

    
     ch  f.frames[].channels:
        ()