Boris Chigarev ORCID 0000-0001-9903-2800 https://figshare.com/authors/Boris_Chigarev/6474086

The Comparison of the Petroleum Context for the Term "Digital transformation" from OnePetro with General Technician Context from Scopus

Objective: to obtain key phrases from OnePetro on "Digital Transformation" topic (petroleum context) and compare them with key phrases from Scopus (more general context). In Scopus, we try to limit context by technical topics, see Scopus query in the text below. The purpose of such comparison is to find nonordinary items in general context which could be useful for petroleum context.

Emotional remark: I was deeply impressed when text mining of titles and abstracts from Scopus prompted the phrase "cyber-physical systems data analytics" (Table 2) and then in dimensions.ai the query '"cyber-physical systems" AND analytic' suggested 31 publications in 2010 and 2030 in 2018!

Common remark for tables:

OnePetro query: search for "Digital Transformation" AND conference papers AND since 2015; 117 results

OnePetro: text based on 117 titles and abstracts

Scopus query: ( TITLE-ABS-KEY ( "digital transformation" OR "digital oilfield" OR "digital technolog*" OR "digital twin" OR "digital solution*" OR "digital system*" OR "digital environment*" OR "digital data technolog*" OR "digital business" OR "digital compan* data" ) OR TITLE-ABS-KEY ( "digital strategy" OR "digital information" OR "digital design" OR "digital monitoring system" OR "drilling process digitalization" ) ) AND PUBYEAR > 2014 AND ( LIMIT-TO ( SRCTYPE , "j" ) ) AND ( EXCLUDE ( SUBJAREA , "SOCI" ) OR EXCLUDE ( SUBJAREA , "ARTS" ) OR EXCLUDE ( SUBJAREA , "PSYC" ) ) AND ( LIMIT-TO ( LANGUAGE , "English" ) ) ; 4,128 results

Scopus: text based on 2000 most cited titles and abstracts

Score: as calculated by "textextract" from KH Coder 3a16f;

1299 stop words ware removed

A ∩ B: column A and B intersection

Table 1. Comparison of top 40 Key Phrases from files: OnePetro-Words clusters by textextract.tsv and KeyPhrases_scopus-titles-abstracts.tsv

If we take all 500 key phrases from OnePetro and comprise them with 48667 key phrases from Scopus, we get the following intersection (119 terms) which are enough for domain description:

(file: A and B for all terms.txt)

real time data; technical challenges; software platform; data transmission; monitoring process; time consuming; historical data; data analytics; case studies; real-time information; digital technology; digital design; supply chain; energy consumption; huge amount of data; available data; production data; high value; digital information; energy industry; digital transformation process; predictive analytics; data availability; artificial intelligence; new system; cyber security; asset management; industrial companies; full potential; digital strategy; digital network; control system; different data; predictive maintenance; value chain; digital technologies; unmanned vehicles; multiple data sources; amount of data; digitalization process; reference data; digital systems; data acquisition; new technology; new data; different systems; automation system; life extension; new approach; big data; management systems; new business models; data sets; new opportunities; business models; low cost; detailed information; operational excellence; case study; advanced analytics; digital solutions; same time; digital technology adoption; cost savings; data repositories; new technologies; information technology; digital capabilities; project management; data science; real-time communication; production operations; high efficiency; quality of data; real time; maritime industry; data access; information security; artificial intelligence ai; such technology; digital business; value of data; oil gas; digital service; operational issues; daily operations; use of information technology; industrial internet of things; digital twin; oil companies; visual data; data governance; data processing; digital transformation strategy; digital environment; data security; digital transformation; new ways; design process; oil price; data set; business decisions; blockchain technology; real-time data; smart operations; decision process; decision making; relevant data; lack of data; big data analytics; data management; business processes; digital monitoring system; first time; set of data; new information; measured data; sensor data; production system

Table 2. Comparison top 30 Key Phrases of '"All Key Phrases AND 'analytic' filter" from files: 'OnePetro-Words clusters by textextract analytics.csv' and 'KeyPhrases_scopus-titles-abstracts-analytic.tsv'

Remark: Common topic: "Digital Transformation AND Analytic" (Scopus) is more business and cloud oriented compare to petroleum domain. cyber-physical systems data analytics: in OnePetro search for "cyber-physical systems data analytics" has returned 0 results; in OnePetro search for "cyber-physical systems" has returned 22 results; search for "cyber-physical" has returned 35 results.

Hypothesis: "cyber-physical systems data analytics" could be an attractive emergence topic for petroleum domain based on experience in other industries. Emphasis on analytics for cyber-physical systems

A cyber-physical (also styled cyberphysical) system (CPS) is a mechanism that is controlled or monitored by computer-based algorithms, tightly integrated with the Internet and its users. In cyber-physical systems, physical and software components are deeply intertwined, each operating on different spatial and temporal scales, exhibiting multiple and distinct behavioral modalities, and interacting with each other in a lot of ways that change with context.

https://en.wikipedia.org/wiki/Cyber-physical_system

Query ''"cyber-physical systems" analytics' in dimensions.ai return:

PUBLICATIONS YEAR: 2019 2,162; 2018 3,020; 2017 1,885; 2016 1,103; 2015 622; 2014 337; 2013 193; 2012 121; 2011 77; 2010 31

The nine years grow (2010 - 2018) is: 3020/31=97.4 , compare 2 times for common topics

Table 3. Comparison top 40 Key Phrases of "All Key Phrases AND "data" filter" from files: 'OnePetro-Words clusters by textextract data.csv' and 'KeyPhrases_scopus-titles-abstracts-data.tsv'

Definition: Qualitative data consist of words, observations, pictures, and symbols. Qualitative Data Analysis (QDA) refers to the processes and procedures that are used to analyze the data and provide some level or explanation, understanding, or interpretation. Qualitative data analysis typically occurs simultaneously with the data collection. Therefore, meaning and understanding often develop slowly over time in a non-linear fashion as the project progresses.

https://cirt.gcu.edu/research/developmentresources/research_ready/qualitative/analyzing_data

Remark: The following topics could have additional interest for petroleum domain: sensor data; digital transformation of data; data models; qualitative data; sharing of data. The last four terms are very important for platform context.

Table 4. Comparison top 40 Key Phrases of " all Key Phrases AND "platform" filter" from files: 'OnePetro-Words clusters by textextract platform.csv' and 'KeyPhrases_scopus-titles-abstracts-platform.tsv'

Remark: The concept of "platform" are important for both petroleum and common domains, in petroleum domain the "IOT" term is more frequent but "analysis" is less frequent. The concept "cyber-physical systems data analytics" incorporate both "IOT" and "analysis".

Table 5. Comparison top 30 Key Phrases of " All Key Phrases AND "image" filter" from files: 'OnePetro-Words clusters by textextract image.tsv' and 'KeyPhrases_scopus-titles-abstracts-image.tsv'

Remark: The concept of "image" rarely meet in 'digital transformation AND OnePetro' but 295 times in file: 'KeyPhrases_scopus-titles-abstracts-image.tsv'. There is high potential to transform experience in common digital image processing to petroleum domain

Table 6. Comparison top 30 Key Phrases of "All Key Phrases AND "remote" filter" from files: 'OnePetro-Words clusters by textextract remote.tsv' and 'KeyPhrases_scopus-titles-abstracts-remote.tsv'

Remark:

• The common key phrases such as: 'remote researcher access analysis', 'remote diagnosis', 'remote expert', 'remote data exchange', 'remote monitoring of process parameters' all concern the key phrases listed in petroleum domain in particular: operation, control, management, collaboration, but for research performance items there are issues for petroleum domain: 'remote researcher access analysis', 'remote diagnosis', 'remote expert'.
• Remote access to data for experts and researchers also has high importance for development "cyber-physical systems data analytics"

Table 7. Comparison top 30 Key Phrases of " All Key Phrases AND "sensor" filter" from files: 'OnePetro-Words clusters by textextract sensor.tsv' and 'KeyPhrases_scopus-titles-abstracts-sensor.tsv'

Remark: for petroleum domain IOT (also see table 4) is of high priority, 'valve-control' is the main device for remote control, but 'image sensor' is less in use than in common items of digital transformation

"Big" picture of key words for common and petroleum digital transformation domains as return by VOSviewer and KH Coder

Figure 1. Comparison of the results of hierarchical clustering of key words extracted from abstracts and titles of bibliographic data from OnePetro and Scopus (using KH Coder 3)

Figure 2. The Network of keywords co-occurrence build by VOSviewer using:

1. OnePetro: 5617 terms, 229 meet threshold 5, selected terms 137 (60% from 229)
2. Scopus: 45414 terms, 607 meet threshold 15, selected terms 364 (60% from 607)
3. Scopus: co-occurrence, all keywords, 15607 terms, 407 meet the threshold 10

Table 8. Comparison of the results of top 50 key terms extracted from abstracts and titles of bibliographic data from Scopus using: 1. KH Coder 3, VOSviewer, author KW and WK+

• KH Coder 3, key words extracted from abstracts and titles of bibliographic data from Scopus
• Scopus, abstracts and titles: 45414 terms, 607 meet threshold 15, selected terms 364 (60% from 607)
• Scopus, co-occurrence: all keywords, 15607 terms, 407 meet the threshold 10

Remark: On my opinion, KH Coder 3 gives the most attractive results compare to VOSviewer and authors and KW+

Results:

• "Cyber-physical systems data analytics" could be an attractive emergence topic for petroleum domain based on experience in other industries. Emphasis on analytics for cyber-physical systems.
• The concept of "platform" are important for both petroleum and common domains, in petroleum domain the "IOT" term is more frequent but "analysis" is less frequent. The concept "cyber-physical systems data analytics" could incorporate both "IOT" and "analysis".
• KH Coder 3 gives the most attractive results by extracting key phrases from titles and abstracts compare to VOSviewer and authors and KW+

References:

KH Coder (by HIGUCHI Koichi) is a free software for quantitative content analysis or text mining. It is also utilized for computational linguistics. https://khcoder.net/en/

Van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.

Supplementary material on Figshare:

Boris Chigarev ORCID 0000-0001-9903-2800 https://figshare.com/authors/Boris_Chigarev/6474086