Practical aspects of working with 2D migrated seismic data

Despite the ever-increasing use of 3D seismic data in today’s exploration and production activities, 2D seismic data continue to play an important role in the oil and gas industry. Interpretations of 2D regional and megaregional surveys are essential elements of integrated exploration programs, establishing frameworks for basin analysis, structural synthesis, and play fairway identification and mapping. When correlating and mapping horizons on 2D migrated seismic data, interpreters use certain practical techniques for handling structural misties, which are caused by the fundamental limitation of 2D migration to account for out-of-plane components of dip.

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APLIKASI METODE PSEUDO 3D SEISMIK DI CEKUNGAN JAWA BARAT UTARA MENGGUNAKAN K.R. BARUNA JAYA II

Oseanika ◽

10.29122/oseanika.v1i2.4562 ◽

2021 ◽

Vol 1 (2) ◽

pp. 1-12

Author(s):

Trevi Jayanti Puspasari ◽

Sumirah Sumirah

Keyword(s):

Data Processing ◽

Seismic Data ◽

Oil And Gas ◽

Oil And Gas Industry ◽

Processing Technique ◽

3D Seismic ◽

Seismic Data Processing ◽

West Java ◽

Gas Industry ◽

North West

ABSTRAK Tuntutan untuk mengikuti perkembangan kebutuhan industri migas menjadi motivasi dalam mengembangkan teknik penerapan dan aplikasi akuisisi seismik multichannel 2D. Perkembangan kebutuhan eksplorasi industri migas tidak diimbangi dengan anggaran peningkatan alat survei seismik milik negara termasuk yang terpasang di K.R. Baruna Jaya II – BPPT. Penerapan metode pseudo 3D pada disain survei dan pengolahan data dapat menjadi solusi efektif dan efisien dalam mengatasi persoalan tersebut. Metode Pseudo 3D merupakan suatu teknik akuisisi dan pengolahan data dengan menitik beratkan pada disain akuisisi dan inovasi pengolahan data seismik 2D menghasilkan penampang keruangan (3D) berdasarkan input data seismik yang hanya 2D. Penelitian ini bertujuan untuk mengaplikasikan metode pseudo 3D seismik di Cekungan Jawa Barat Utara menggunakan wahana KR. Baruna Jaya II yang dilakukan pada Desember 2009. Sebagai hasil, pengolahan data 2D lanjutan telah dilakukan dan diperoleh profil penampang seismik keruangan (3D). Profil hasil pengolahan data Pseudo 3D ini dapat menjadi acuan dalam pengambilan keputusan dan rencana survei berikutnya. Kata Kunci: Seismik Pseudo 3D, Seismik multichannel 2D, K.R. Baruna Jaya II, Cekungan Jawa Barat Utara. ABSTRACT [Aplication of Seismic Pseudo 3D in Nort West Java Basin Using K.R. Baruna Jaya II] The demand to follow the growth of needs in the oil and gas industry is a motivation in the developing of techniques for assessment and applying 2D multichannel seismic acquisition. The development of exploration needs for the oil and gas industry is not matched by budget for an upgrade Government’s seismic equipment including equipment installed in K.R. Baruna Jaya II. Applied Pseudo 3D method in survey and seismic data processing can be an effective and efficient solution. The pseudo 3D method is a data acquisition and processing technique with an emphasis on the acquisition design and 2D seismic data processing innovation to produce a 3D seismic volume. This study aims to apply the pseudo 3D seismic method in the North West Java Basin using the K.R. Baruna Jaya II which was held in Desember 2009. As a Result, advanced seismic processing was carried out to output a seismic volume (3D) profile. This profile can be used as a reference in making decisions and planning the next survey. Keywords: Pseudo 3D Seismic, Seismic 2D multichannel, K.R. Baruna Jaya II, Nort West Java Basin.

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Trends and Prospects of Development of the Oil and Gas Sector in the Context of Digitalization

Economics and Management ◽

10.35854/1998-1627-2020-1-35-45 ◽

2020 ◽

Vol 26 (1) ◽

pp. 35-45 ◽

Cited By ~ 1

Author(s):

A. G. Kazanin

Keyword(s):

Oil And Gas ◽

Digital Technologies ◽

Oil And Gas Industry ◽

Global Market ◽

The Arctic ◽

Business And Society ◽

Gas Industry ◽

Exploration And Production ◽

Oil And Gas Sector

The modern oil and gas industry is heavily dependent on the processes and trends driven by the accelerating digitalization of the economy. Thus, the digitalization of the oil and gas sector has become Russia’s top priority, which involves a technological and structural transformation of all production processes and stages.Aim. The presented study aims to identify the major trends and prospects of development of the Russian oil and gas sector in the context of its digitalization and formation of the digital economy.Tasks. The authors analyze the major trends in the development of the oil and gas industry at a global scale and in Russia with allowance for the prospects of accelerated exploration of the Arctic; determine the best practices of implementation of digital technologies by oil and gas companies as well as the prospects and obstacles for the subsequent transfer of digital technologies to the Russian oil and gas industry.Methods. This study uses general scientific methods, such as analysis, synthesis, and scientific generalization.Results. Arctic hydrocarbons will become increasingly important to Russia in the long term, and their exploration and production will require the implementation of innovative technologies. Priority directions for the development of many oil and gas producers will include active application of digital technologies as a whole (different types of robots that could replace people in performing complex procedures), processing and analysis of big data using artificial intelligence to optimize processes, particularly in the field of exploration and production, processing and transportation. Digitalization of the oil and gas sector is a powerful factor in the improvement of the efficiency of the Russian economy. However, Russian companies are notably lagging behind in this field of innovative development and there are problems and high risks that need to be overcome to realize its potential for business and society.Conclusions. Given the strategic importance of the oil and gas industry for Russia, its sustainable development and national security, it is recommendable to focus on the development and implementation of digital technologies. This is crucial for the digitalization of long-term projection and strategic planning, assessment of the role and place of Russia and its largest energy companies in the global market with allowance for a maximum number of different internal and external factors.

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Using AI/ML to Explore & Develop Quickly and Efficiently

10.2118/207377-ms ◽

2021 ◽

Author(s):

Anthony Aming

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Seismic Data ◽

3D Seismic ◽

Structure Amplitude ◽

Zero Crossing ◽

Petroleum Systems ◽

Exploration And Production ◽

Data Volume ◽

3D Seismic Data

Abstract See how application of a fully trained Artificial Intelligence (AI) / Machine Learning (ML) technology applied to 3D seismic data volumes delivers an unbiased data driven assessment of entire volumes or corporate seismic data libraries quickly. Whether the analysis is undertaken using onsite hardware or a cloud based mega cluster, this automated approach provides unparalleled insights for the interpretation and prospectivity analysis of any dataset. The Artificial Intelligence (AI) / Machine Learning (ML) technology uses unsupervised genetics algorithms to create families of waveforms, called GeoPopulations, that are used to derive Amplitude, Structure (time or depth depending on the input 3D seismic volume) and the new seismic Fitness attribute. We will show how Fitness is used to interpret paleo geomorphology and facies maps for every peak, trough and zero crossing of the 3D seismic volume. Using the Structure, Amplitude and Fitness attribute maps created for every peak, trough and zero crossing the Exploration and Production (E&P) team can evaluate and mitigate Geological and Geophysical (G&G) risks and uncertainty associated with their petroleum systems quickly using the entire 3D seismic data volume.

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A conceptual model for project management of exploration and production in the oil and gas industry: The case of a Brazilian company

International Journal of Project Management ◽

10.1016/j.ijproman.2012.09.016 ◽

2013 ◽

Vol 31 (4) ◽

pp. 589-601 ◽

Cited By ~ 23

Author(s):

Jesus Leodaly Salazar-Aramayo ◽

Roseane Rodrigues-da-Silveira ◽

Mariana Rodrigues-de-Almeida ◽

Tereza Neuma de Castro-Dantas

Keyword(s):

Project Management ◽

Conceptual Model ◽

Oil And Gas ◽

Oil And Gas Industry ◽

Gas Industry ◽

Exploration And Production

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Transferring exploration and production activities within the UK’s upstream oil and gas industry: a capabilities perspective

Change, Transformation and Development ◽

10.1007/978-3-7908-2720-0_7 ◽

2003 ◽

pp. 97-123

Author(s):

John H. Finch

Keyword(s):

Oil And Gas ◽

Oil And Gas Industry ◽

Gas Industry ◽

Exploration And Production

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The Regulation of Oil and Gas Industry Concerning Exploration and Production in Presalt Layer

Energy Law in Brazil ◽

10.1007/978-3-319-14268-5_4 ◽

2015 ◽

pp. 87-104

Author(s):

Yanko Marcius de Alencar Xavier ◽

Anderson Souza da Silva Lanzillo

Keyword(s):

Oil And Gas ◽

Oil And Gas Industry ◽

Gas Industry ◽

Exploration And Production

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Successfully managing Aboriginal cultural heritage—LNG and other stories

The APPEA Journal ◽

10.1071/aj09062 ◽

2010 ◽

Vol 50 (2) ◽

pp. 698

Author(s):

Paul Travers

Keyword(s):

Cultural Heritage ◽

Oil And Gas ◽

Oil And Gas Industry ◽

Essential Elements ◽

Heritage Management ◽

Duty Of Care ◽

Gas Industry ◽

Management Guidelines ◽

Cultural Heritage Management ◽

The One

The various LNG projects in Queensland presented industry and traditional owners with a unique set of circumstances. On the one hand, LNG proponents were required to engage individually with traditional owner groups regarding cultural heritage. On the other hand, traditional owner groups were dealing with a variety of LNG proponents each seeking agreement about the same thing but in different ways. The paper examines this issue, considers a number of the pitfalls, and asks whether there is a case for standardising the management of cultural heritage. The current review of the Commonwealth Aboriginal and Torres Strait Islander Heritage Protection Act 1984 appears to support this approach. This paper will also look at the various ways cultural heritage has been managed in Queensland, as well as in other states and territories, and assesses whether there really is a better way for proponents in the oil and gas industry to manage this issue. Paul Travers was responsible for developing Queensland’s Aboriginal Cultural Heritage Act 2003. He also drafted the Aboriginal cultural heritage duty of care and cultural heritage management guidelines under the legislation. He has worked with LNG proponents and traditional owners in relation to LNG projects in Queensland. He brings an interesting and unique take on the essential elements of successful cultural heritage management.

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Digital innovation in subsea integrity management

The APPEA Journal ◽

10.1071/aj19123 ◽

2020 ◽

Vol 60 (1) ◽

pp. 215

Author(s):

Ricky Thethi ◽

Dharmik Vadel ◽

Mark Haning ◽

Elizabeth Tellier

Keyword(s):

Domain Knowledge ◽

Oil And Gas ◽

Digital Technologies ◽

Oil And Gas Industry ◽

Gas Industry ◽

Cost Efficiencies ◽

Exploration And Production ◽

Integrity Management ◽

Offshore Oil And Gas ◽

Dynamic Structures

Since the 2014 oil-price downturn, the offshore oil and gas industry has accelerated implementation of digital technologies to drive cost efficiencies for exploration and production operations. The upstream offshore sector comprises many interfacing disciplines such as subsurface, drilling and completions, facilities and production operations. Digital initiatives in subsurface imaging, drilling of subsea wells and topsides integrity have been well publicised within the industry. Integrity of the subsea infrastructure is one area that is currently playing catch up in the digital space and lends itself well for data computational efficiencies that artificial-intelligence technologies provide, to reduce cost and lower the risk of subsea equipment downtime. This paper details digital technologies employed in the area of subsea integrity management to meet the objectives of centralising access to critical integrity data, automating workflows to collect and assess data, and using machine learning to perform more accurate and faster engineering analysis with large volumes of field-measured data. A comparison of a typical subsea field is presented using non-digital and digital approaches to subsea integrity management (IM). The comparison demonstrates where technologies such as digital twins for dynamic structures, and auto anomaly detection by using image recognition algorithms can be deployed to provide a step change in the quality of subsea integrity data coming from field. It is demonstrated how the use of a smart IM approach, combined with strong domain knowledge in subsea engineering, can lead to cost efficiencies in operating subsea assets.

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