Shastri Lakshman Nimmagadda

• Doctor of Philosophy
• Research Fellow at Curtin University

Managing Exploration and Production (E&P) data and establishing the connectivity between Geology and Geophysics (G&G) domains are vital in the upstream petroleum businesses. These challenges can affect the data integration during the interactive interpretation of exploration data. In addition, the E&P data are big in size and scale; new file storag...

The world comprises multiple ecological systems that vary in size and shape in spatial and temporal dimensions. In recent years, digital health has uncovered connectable coexisting ecosystems, including the most contagious healthcare conditions embedded within human and environmental ecosystems in different spatial dimensions. For example, the curr...

Surveyors, explorers and managers investigate for improvements in geophysical operations in hassle-free environments, including planning, survey designs and budgetary regulations. The critical tasks are field crew induction, wildlife and domestic animal protection, oil spill prevention, land management, built-up areas and shot hole drilling. Geophy...

Heterogeneity and multidimensionality are significant challenges of petroleum data management, precluding the data integration process. Data integration is crucial in the upstream digital petroleum ecosystem development process that unifies multiple domains and systems. To sustain the process, we adopt various Information System (IS) artefacts that...

A new carbon-free energy economy is envisaged to combat climate change and reduce CO2 emissions. A decarbonized economy is a pollution-free wealth created by energy companies, producing low greenhouse gas (GHG) emissions. Huge decarbonization markets are emerging in the USA, Europe, and Australia, including many ambitious renewable energy projects...

Energy integration is challenging to manage a variety of consumer needs. Integration of various government agencies, transmission systems, marketing companies, industries, and consumer groups, is a significant challenge, especially in areas where energy resources are logistically difficult to mobilize and deliver various products and services. Besi...

Often the textual data are either disorganized or misinterpreted because of unstructured Big Data in multiple dimensions. Managing readable textual alphanumeric data and its analytics is challenging. In spatial dimensions, the facts can be ambiguous and inconsistent, posing interpretation and new knowledge discovery challenges. The information can...

The quality of training/testing datasets is critical when a model is trained and evaluated by the annotated datasets. In Information Retrieval (IR), documents are annotated by human experts if they are relevant or not to a given query. Relevance judgment of human assessors is inherently subjective and dynamic. However, a small group of experts’ rel...

Recent trends suggest the Big Data paradigm has received considerable attention in many complex domain applications. The complexity grows based on diverse contexts, domains, systems and associated data sources and structures. The heterogeneity and multidimensionality are added challenges of complex systems, making the environmental data organizatio...

The major environmental threats are climate change and global warming, affecting various ecologies, including human ecosystems. Other challenges include rapid urbanisation, population explosion, and massive migration from rural to urban areas. Earth's morphology dramatically changes because of rapid deforestation, terrestrial ecosystem loss and lan...

In the entire life cycle of the exploratory drilling campaigns, the technical and financial documents, Geotechnical Order (GTO), and Authorization for Expenditure (AFE) have a role in stakeholder and portfolio management, including investment opportunities. Executing GTO and AFE documents has challenges in committing huge capital outlays contributi...

In oil and gas industries, operational digital solutions are challenging because of spatially extended large-size installations and the criticality of implementation solutions in business contexts, where rising global demand for energy needs is stirring. Other challenges include using obsolete tools and technology, time-consuming digital makeovers,...

The East African Rift System (EARS) is part of Super basins 9 of Africa, which we interpret in our research as a digital petroleum ecosystem (DPE). The DPE merges various geoscience architectures with productive petroleum systems, nurturing technological advancement with innovative basin-level economies. In a holistic view, the infrastructure is a...

Location data rapidly grow with fast-changing logistics and business rules. Due to fast-growing business ventures and their diverse operations locally and globally, location-based information systems are in demand in resource industries. Data sources in these industries are spatial-temporal, with petabytes in size. Managing volumes and various data...

The logistics and supply chains have affected worldwide businesses, particularly in pandemic locations and periods, unsettling supply and demand pursuits. Logistics of global markets have been irregular, with poorly aligned superstore outlets in different geographies. Businesses and their alliances have affected spatial-temporal dimensions. The res...

The research aims to assess the sustainment between multiple domains and ecosystems with viable and adaptable models. We propose an Information System (IS) modelling approach and examine the sustenance between ecosystems through connectable multidimensional IS artefacts. For example, humans survive in healthy and hassle-free environments for long-t...

Relevance judgment of human assessors is inherently subjective and dynamic when evaluation datasets are created for Information Retrieval (IR) systems. However, a small group of experts' relevance judgment results are usually taken as ground truth to "objectively" evaluate the performance of the IR systems. Recent trends intend to employ a group of...

Relevance judgment of human assessors is inherently subjective and dynamic when evaluation datasets are created for Information Retrieval (IR) systems. However, a small group of experts' relevance judgment results are usually taken as ground truth to "objectively" evaluate the performance of the IR systems. Recent trends intend to employ a group of...

The research emerges with new insights of Information System (IS) articulations and pathways of connecting human-anatomy, physiology, psychology, and human-behaviour ecological entities and their attributes. The connectivity is the basis for examining various mental disorders and their discernment in digital representations. Several types of mental...

Large size logistics and supply chains can exhibit data heterogeneity and multidimensionality challenges complicating the Information System (IS) construct design, model development, even precluding the data integration process. IS designs and models may be ambiguous during implementation of supply chain business management scenarios, affecting the...

Human abnormal thoughts, perceptions, emotions, and behavioural patterns have exhibited a variety of mental health disorders, but deteriorated their traits in pandemic times with severe illnesses. Falling human physiological and psychological functions have incapacitated mental stamina with questionable human survival in an environment, where pande...

Data heterogeneity and multidimensionality are added challenges of upstream business research that can preclude the data integration process in diverse domains. The research purpose was to build data constructs and models that can articulate a unified approach and address the challenges of the data integration processes. Multidimensional data wareh...

The role of governance is undervalued in e-business information system design and development. The transparency, integrity and ethical values are disregarded while articulating e-business artefacts in different organisations. E-Governance can affect e-business growth, including motivations for technology development, compromising the product and se...

Data sources associated with Eating Disorder (ED) events are heterogeneous, and they intensely influence the lives of millions of teenagers. The EDs can lead to obesity or vice versa and succumb to various linked chronic illnesses. We examine the existing research on Eating Disorder Inventory (EDI) to explore connectivity between multiple domains o...

The World Wide Web (WWW) unfolds with diverse domains and associated data sources, complicating the network data science. In addition, heterogeneity and multidimensionality can make data management, documentation, and even integration more challenging. The WWW emerges as a complex digital ecosystem on a Big Data scale, and we conceptualize the web...

IT Storage, integration and interoperability are critical challenges in the unconventional exploration data management. With a quest to explore unconventional hydrocarbons, in particular, shale gas from fractured-shales, we aim at investigating new petroleum data geo-science approaches. The data geo-science describes the integration of geoscience-d...

The North West Shelf (NWS) interpreted as a Total Petroleum System (TPS), is Super Westralian Basin with active onshore and offshore basins through which shelf,-slope and deep-oceanic geological events are construed. In addition to their data associativity, TPS emerges with geographic connectivity through phenomena of digital petroleum ecosystem. T...

Background: In shale basins, petroleum systems are complex; they hold data sources in Big Data scales. The motivation of research lies with the facts of exploring effective inherent connectivity between unconventional petroleum systems. The connectivity between energy reservoir systems is ambiguous within a distinctive petroleum ecosystem. Heteroge...

The embeddedness of ecosystems interpreted as the connectivity between data sources has been the research focus of ecosystem service providers. Heterogeneity of data sources, linked with embedded systems, is challenging in the ecosystem integration process. Big data is an added motivation in the ecosystem integration process. The purpose of the res...

The data heterogeneity and multidimensionality, including the exponential growth of upstream businesses, complicate the construct-design and model development, precluding data integration process. Besides, an uncertainty arises with the effectiveness of business models, making prototype evaluation uncertain, risking business prospects. The signific...

The explosion of information constrains the judgement of search terms associated with Knowledge-Based Web Ecosystem (KBWE), making the retrieval of relevant information and its knowledge management challenging. The existing information retrieval (IR) tools and their fusion in a framework need attention, in which search results can effectively be ma...

Professional Development Symposium, AMCIS 2020, Utah, Salt Lake City

Information Systems are in growing demand in various business and government organizations. Despite increased competition, business growth and technology innovation, at times, we overlook the governance, transparency, integrity and business ethics, with the result, the quality of deliverable products and services is compromised. Several external fa...

We identify various sports-related challenges pertinent to teams, player selections, and event management. We examine both technical and managerial decisions made during player promotion, and various factors influenced the matches. We conceptualize that the game strategies, player and team selections, performance-based sports ecology management ent...

Several issues associated with existing velocity models and their anomalies affecting the petroleum geology of the offshore Nile Delta basin are described. The paper aims to present velocity and pressure variations and their associated pitfalls in the deeper Nile Delta, where the ambiguities exist in the interpretation of depth structures, especial...

The research is aimed at investigating knowledge-based social informatics solutions. Socioeconomic development relies on technology use in education and employment sectors. To explore such challenges, we examine the existing indicators of socioeconomic development, such as gender equalities, employment, and education and population growth attribute...

Fog Computing is a new computing paradigm which is grown ever since it is being used. It is aimed at bringing the computations close to data sources from healthcare centers. IoT driven Fog Computing is developed in the healthcare industry that can expedite facilities and services among the mass population and help in saving billions of lives. The n...

We examine the hydrocarbon prospectivity associated with Romanian offshore Black Sea western-basin. We have explored volumes and variety of datasets in subduction zones and their associated continental basin margin areas. The exploration datasets include more than 175 2D seismic lines, 30 km 2 of 3D seismic data, covering the entire Western Basin b...

Managing prosumer businesses is challenging with different types of renewable and non-renewable energy resources. The development and implementation of energy systems pose additional challenges when prosumers pursue sustainable production while simultaneously trying to mitigate gas emissions and energy losses. Issues associated with energy emission...

From a digital ecosystem perspective, sustainability is a manifestation of a composite entity with multiple data attribute dimensions. The data relationships may emerge between geographically distributed supply chain management ecosystems and their linked human, economic and environment ecologies. The ecosystems may exhibit inherent connections and...

In Supply Chain Management System (SCM) scenarios, data accumulated in various geographic locations are either as structured or unstructured. Types of data are even associated with applications in distributed system environments. These data sources are amassed up in volumes, varieties online, and offline in spatial-temporal dimensions worldwide. Em...

Agriculture industries and their business ecosystems experience data and information overload because of complex network or interconnected domains linked to a variety of agro-based systems. Data search becomes tedious when specific queries are made to support crucial technical and financial decisions by agroecosystem service providers. Due to accum...

The images enhanced in different viewpoints can be registered and fused within surveillance systems. Most of the existing systems are not capable of providing a real-time image fusion. This paper embodies the design and application development of a real-time vision enhancement system using real-time image fusion. In feature-based image registration...

Managing prosumer businesses is challenging with different types of renewable and non-renewable energy resources. The development and implementation of energy systems pose additional challenges when prosumers pursue sustainable production while simultaneously trying to mitigate gas emissions and energy losses. Issues associated with energy emission...

Investigating the Strengths, Weaknesses, Opportunities and Threats (SWOT) of enterprise systems is popular among business researchers in major organizations. Many establishments carry out SWOT analysis at strategic planning, quality control while formulating government policies and legislations. In the digital ecosystems scenarios, the SWOT activit...

The multidisciplinary textual-data are often disorganized and misinterpreted in many documents, which can obscure the information retrieval and its interpretation in company networks and even the World Wide Web. Managing textual information in particular with large-size alphanumeric data sources is challenging and at times can preclude the prompt d...

We examine the existing goals of business- and geographic - information systems and their influence on logistics and supply chain management systems. Modelling supply chain management systems is held back because of lack of consistent and poorly aligned data with supply chain elements and processes. The issues constraining the decision-making proce...

The Human Anatomy, Physiology and Psychology Integrated Egghead Relationships (HAPPIER) are embedded domains of a human ecosystem. In the digital ecosystem perspective, the idiom "Integrated-Egghead-Relationships" describes composite domains with encapsulation of multiple data attribute dimensions. The increase in physiological and psychological di...

Cancer is a deadly complex disease. Poorly aligned institutions, their data sources, and doctor-patient disengagement motivate us, strengthening collaborative cancer research. The research explores informatics solutions, by collating various cancer-linked data attributes and interconnecting them with spatial-temporal dimensions. The study is aimed...

Establishing the reservoir connections is paramount in exploration and exploitation of unconventional petroleum systems and their reservoirs. In Big Data scale, multiple petroleum systems hold volumes and varieties of data sources. The connectivity between petroleum reservoirs and their existence in a single petroleum ecosystem is often ambiguously...

The significance of technical and financial documents is realized in the exploratory drilling campaigns. The Geotechnical Order (GTO) and Authority for Expenditure (AFE) are crucial documents in the entire life cycle of the upstream petroleum business information system. In GTO, the sub-surface data attributes such as formation boundaries, pressure...

The unconventional digital petroleum ecosystems are associated with fractured reservoirs that are usually unpredictable, but can produce for longer periods depending on size of petroleum systems and basins. Currently, conventional reservoirs do produce oil & gas even without integrated workflows and solutions. The heterogeneity and multidimensional...

The research is aimed at investigating gender equality that affects the social and economic development in African countries. The existing data sources are examined based on the research question: “What is the role of female education and workforce on the social and economic development in African contexts, especially in East Africa?” To explore th...

Data heterogeneity and multidimensionality are major challenges when dealing with the integration of exploration data sources in the frontier basins. We take advantage of the fact that the geology and geophysics (G & G) do not have boundaries either with the continents or their associated countries. Frontier basins may have generated enormous digit...

Data heterogeneity and multidimensionality are major challenges when dealing with the integration of exploration data sources in the frontier basins. We take ad-vantage of the fact that the geology and geophysics (G & G) do not have boundaries either with the continents or their associated countries. Frontier basins may have generated enormous digi...

Volumes of geological and geophysical (G & G) data sources exist in the Nile Delta basin, covering approximately 60,000 square kilometres in both onshore and offshore areas. Though several varieties of data continue to support the exploration and field development activities in the basin, the Big Data sources are largely unstructured, heterogeneous...

The information explosion constrains the Digital Web Ecosystem exploration and makes challenging in retrieving relevant information and knowledge using Web search tools. The existing tools are not well integrated, and search results are inadequately managed. In this article, we describe effective information retrieval services for users and agents...

Seismic integration has been a successful accessory in every data interpretation project. For shale gas exploration design, development and implementation, high-resolution seismic data are necessitated. In this context, every exploration project needs multi-disciplinary datasets and their integration that can minimize the ambiguity of the interpret...

The North West Shelf (NWS) and its associated petroleum systems have varied geographies, geomorphologies and complex geological environments. In spite of the ongoing exploration activities in many sedimentary basins, the appraisal and field development campaigns are challenging. Besides, interpreting the connectivity between petroleum systems is ch...

Many opencast mines inhabit thousands of square km area, which are productive and commercial Australia wide. Hundreds of volumes and varieties of data dimensions and facts exist in the opencast mining areas. The data sources linked with various opencast mines are often heterogeneous and multidimensional. Data modelling is challenging in a Big Data...

The challenges faced by domain experts, commitments made to domain-specific rule (DSR) languages and process design are described. We investigate the business application developments and existing challenges of evaluation strategies of DSR articulations. Often, multiple domain scenarios pose end-user predicaments complicating the computational abil...

The emerging Big Data integration imposes diverse challenges, compromising the sustainable business research practice. Heterogeneity, multi-dimensionality, velocity, and massive volumes that challenge Big Data paradigm may preclude the effective data and system integration processes. Business alignments get affected within and across joint ventures...

The shallow clastic section in the Nile Delta is characterized by mild velocity variations. The relationship between the expected velocity reduction in the gas reservoir rocks and the encompassing shale is responsible for acoustic impedance contrast, predictable to a particular AVO-class. In class-3AVO, the bright spot is a result of great reductio...

The North West Shelf (NWS) and its associated petroleum systems have varied geographies, geomorphologies and complex geological environments. In spite of the ongoing exploration activities in many sedimentary basins, the appraisal and field development campaigns are challenging. Besides, interpreting the connectivity between petroleum systems is ch...

Many opencast mines inhabit thousands of square km area, which are productive and commercial Australia wide. Hundreds of volumes and varieties of data dimensions and facts exist in the opencast mining areas. The data sources linked with various opencast mines are often heterogeneous and multidimensional. Data modelling is challenging in a Big Data...

Seismic integration has been a successful accessory in every data interpretation project. For shale gas exploration design, development and implementation, high-resolution seismic data are necessitated. In this context, every exploration project needs multi-disciplinary datasets and their integration that can minimize the ambiguity of the interpret...

The business environment is rapidly undergoing changes, and they need a prompt adaptation to the enterprise business systems. The process models have abstract behaviors that can apply to diverse conditions. For allowing to reuse a single process model, the configuration and customisation features can support the design improvisation. However, most...

The business environment is rapidly undergoing changes, and they need a prompt adaptation to the enterprise business systems. The process models have abstract behaviours that can apply to diverse conditions. For allowing to reuse a single-process model, the configuration and customization features can support the design improvisation. However, most...

Sustainability is a dynamic, complex and composite data relationship among geographically distributed human and environment ecosystems. The ecosystems may have strong interactions among their elements and processes, but with dynamic implicit boundaries. Multi-scalable and multidimensional ecosystems have significance based on a commonality of basic...

The rugged geographies, geomorphologies, and complex geological environments make the explorers more challenging exploration and production (E & P). Despite challenges, many sedimentary basins, associated oil & gas fields, and E & P Ventures are productive and commercially viable. The difficulty in understanding the connectivity among multiple rese...

We use the Big Data paradigm, as a driving mechanism of an integrated research framework. As a case study, we consider analysing various ecological systems and their connectivity in the framework. An unknown coexistence among different species and lack of knowledge on their sustainability motivate us for undertaking the current research. For descri...

Various ecological systems are articulated using different data artefacts. These artefacts include various data constructs, models, methods and visual representations of the models with factual data instances. We simulate the total environment framework using the Big Data generic framework to establish a connectivity among coexistent systems. An un...

Many enterprises and companies strive with information overload in particular with large size alphanumeric data including research manuscripts in the educational institutes. The purpose of the research is to optimize the sentences, words and alphanumeric characters of various kinds of manuscripts without compromising the clarity, semantics and qual...

We envisage that the human super ecosystem is embedded with several domains, more prominently with human anatomy, physiology and psychology yield (HAPPY). The “yield” is interpreted as a conceptualized attribute dimension and contextualized geographically and periodically, because of increasing physiological and psychological disorders among mass p...

An offshore petroleum is the main focus of the current research with Big Data and high-performance computing motivations in the study area. We undertake a joint exploration study focusing on Romanian offshore Black Sea (Western) basin, using volumes and varieties of datasets in a Big Data scale. The exploration datasets include more than 175 2D sei...

Neither the limits of elements and processes of the petroleum systems of Colombian sedimentary basins are known nor interpreted without ambiguities undermining the reservoir complexities and hampering the data integration in the upstream business. Partly it is due to poor understanding of the datasets and poorly articulated data modelling, visualiz...

We examine the volumes and varieties of data sources of the Open Directory Project (ODP), which can endure, regenerate and flourish with new knowledge. The ODP motivates us in building a knowledge base smarter multidimensional data constructs and models. We articulate the models with new artefacts, addressing the heterogeneity and multidimensionali...

Big data sources and their mining from multitude of ecosystems have been the focus of many researchers in both commercial and research organizations. The authors in the current research have focused on embedded ecosystems with big data motivation. Embedded systems hold volumes and a variety of heterogeneous, multidimensional data, and their sources...

In the current upstream business environment, we examine the risk involved in the petroleum exploration and field development. Many sedimentary basins worldwide possess hundreds of petroleum systems with thousands of oil and gas fields, geographically scattered. A significant amount of unstructured heterogeneous and multidimensional data are locked...

Effective use of historical volumes of heterogeneous and multidimensional data is a major challenge, especially projects associated with potential applications of carbon emission ecosystems. Data science in these applications becomes tedious when such varied data are accumulated and or distributed in multiple domains. Design, development, and imple...

There are many productive mines worldwide, each with thousands of SQ. km. of areal extents with complex topographies and geographies. Many minerals and mines are under active exploration worldwide for many decades. Despite several productive mines, the limits of opencast mining systems are still unknown or their connectivity is ambiguously interpre...

Big data sources and their mining from a multitude of ecosystems have been the focus of many researchers in both commercial and research organizations. The authors emphasize the embedded ecosystems with big data motivation that embrace with volumes and varieties of heterogeneous and multidimensional data sources. These data sources complicate the d...

The offshore Nile Delta region has huge exploration potential, keeping in view the existing commercial oil and gas fields in and around this basin. The majority of the offshore Nile Delta basin is underexplored. Sparsity of geophysical data coverage and ambiguity in the interpretation of existing geophysical data have held back the exploration for...

The present work embodies the results of theoretical and practical investigations of electromagnetic depth sounding using central frequency sounding (CFS) system over a layered earth. Failure of conventional electrical resistivity sounding in the study of geological conditions under resistive overburden calls for variable frequency sounding techniq...

In spite of high pace of exploration activity in the Lake Albert basin, appraisal and field development become challenging in the Albertine Graben of Western Uganda. The volumes and variety of exploration data sources in these basins exist in different scales, sizes and formats in multiple dimensions (including periodic and geographic dimensions) a...

Welcome to the 1st Western Australian Symposium on Visualization, Emerging Media, and User-Experience! The aim of the symposium is to lay ground for a yearly symposium and develop towards a leading forum for inter-disciplinary thinkers of industrial professionals, academics, and practitioners to discuss and present the latest emerging trends in med...

SUMMARY The offshore Nile Delta region has huge exploration potential, keeping in view the existing commercial oil and gas fields in and around this basin. Majority of the offshore Nile Delta basin is underexplored. Sparsity of geophysical data coverage and ambiguity in the interpretation of existing geophysical data have held back the exploration...

In recent years, Big Data sources and their analytics have been the focus of many researchers on multiple ecosystems in both commercial and research organizations. The authors currently, focus on embedded ecosystems with Big Data motivation. The embedded systems hold large volumes and a variety of heterogeneous, multidimensional data and the source...

Abstract The study area lies around the petroleum provinces of the Egyptian Offshore Nile Delta basin. The existing exploration data are sparse, and any effort made on the strati-structural interpretation is challenging for exploratory drilling campaigns, even with meager well control. Keeping in view the issues and major challenges, the authors pr...

Abstract The study area lies around the petroleum provinces of the Egyptian Offshore Nile Delta basin. The existing exploration data are sparse, and any effort made on the strati-structural interpretation is challenging for exploratory drilling campaigns, even with meager well control. Keeping in view the issues and major challenges, the authors pr...

The present work embodies the results of theoretical and practical investigations of electromagnetic depth sounding using central frequency sounding (CFS) system over a layered earth. Failure of conventional electrical resistivity sounding in the study of geological conditions under resistive overburden calls for variable frequency sounding techniq...