Log Ascii Standard (LAS) Version 3.0

Heslop, Kenneth; Karst, James; Schmitt, Dennis; Prensky, Stephen E.

doi:10.2118/56784-ms

All Days 1999

DOI: 10.2118/56784-ms

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Log Ascii Standard (LAS) Version 3.0

Kenneth Heslop¹,

James Karst²,

Dennis Schmitt³

et al.

Abstract: TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractAn updated version of LAS (Log Ascii Standard) is presented. The purpose of this version is to provide a consistent standard that can accommodate all types of digital log data and non-log borehole data, providing a more robust standard for data exchange and storage, and to increase the applicability of LAS files.Input from industry is requested to ensure that the final specifications meet the needs of users and data managers. We anticipate that the final spec… Show more

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“…The most common text format is the American Standard Code for Information Interchange -ASCII-. ASCII is used for the SedLog data format and for the Log ASCII Standard -LAS- (Heslop et al, 1999). The latter (LAS) is the data format used by the SDAR package.A major advantage of ad hoc software tools is that any change in the data can automatically lead to an update in the display of the litholog.…”

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StratigrapheR: Concepts for Litholog Generation in R

Wouters¹,

Anne-Christine²,

Boulvain³

et al. 2021

The R Journal

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The StratigrapheR package proposes new concepts for the generation of lithological logs, or lithologs, in R. The generation of lithologs in a scripting environment opens new opportunities for the processing and analysis of stratified geological data. Among the new concepts presented: new plotting and data processing methodologies, new general R functions, and computer-oriented data conventions are provided. The package structure allows for these new concepts to be further improved, which can be done independently by any R user. The current limitations of the package are highlighted, along with the limitations in R for geological data processing, to help identify the best paths for improvements.Lithologs can be hand-drawn, computer-drawn, or generated via ad hoc software tools. Drawn figures can have unlimited precision and personalization. They are, however, time-consuming to produce and ill-adapted for the extraction of data for further numerical analysis. Moreover, any modification to drawn lithologs has to be performed manually. Ad hoc software tools such as the open-source SedLog program (Zervas et al., 2009) or the SDAR R package (Ortiz et al., 2019) propose a solution to such short-comings by generating lithologs from geological data provided in a text format. The most common text format is the American Standard Code for Information Interchange -ASCII-. ASCII is used for the SedLog data format and for the Log ASCII Standard -LAS- (Heslop et al., 1999). The latter (LAS) is the data format used by the SDAR package.A major advantage of ad hoc software tools is that any change in the data can automatically lead to an update in the display of the litholog. However, ad hoc software tools only permit a certain amount of personalization. The graphical output of ad hoc software tools, which can be obtained in vector graphics format (e.g., in the Scalable Vector Graphics [SVG] format), has to be post-processed in vector graphics software to add elements that are not supported by the data format. In SedLog, for instance, to add plots next to the litholog (i.e., to visualize quantified analytical values and their relation to the lithological features) the plots need to be generated separately and then added manually along the litholog in vector graphics software. SedLog does permit a certain amount of personalization, but only for the lithological symbology, by giving the user the option of adding self-made symbology (e.g., to show the position of paleontological or sedimentological features). In the SDAR package, the only data automatically displayable are Gamma Ray spectrometry values, and the symbology (for lithology, fossils, etc.) cannot be personalized.Generally speaking, the graphical style of the lithologs generated by ad hoc software tools is difficult to personalize entirely. To do so, each functionality has to be modular, which is better done in a scripting language such as R. Yet, the SDAR package, although coded in R, is not modular. All the plotting is made using a single function. Any personalization fea...

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StratigrapheR: Concepts for Litholog Generation in R

Wouters¹,

Anne-Christine²,

Boulvain³

et al. 2021

The R Journal

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Log Ascii Standard (LAS) Version 3.0

Cited by 1 publication

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StratigrapheR: Concepts for Litholog Generation in R

StratigrapheR: Concepts for Litholog Generation in R

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