Browse Items (36 total)

  • Tags: Oil well logging

Background: Since the introduction of the first electrical resistivity well log by Marcel and Conrad Schlumberger in 1927, the field of petrophysical well logging experienced significant technological advancements [3]. One of the new technologies was…

Big data-driven ensemble learning is explored in this paper for quantitative geological lithofacies modeling, which is an integral and challenging part of petroleum reservoir development and characterization. Quantitative lithofacies modeling…

Background: Since the introduction of the first electrical resistivity well log by Marcel and Conrad Schlumberger in 1927, the field of petrophysical well logging experienced significant technological advancements [3]. One of the new technologies was…

Big data-driven ensemble learning is explored in this paper for quantitative geological lithofacies modeling, which is an integral and challenging part of petroleum reservoir development and characterization. Quantitative lithofacies modeling…

For an oil well, we can determine the working conditions of drilling wells and whether there is an accident by logging data. However, it takes a long time to analyze logging curves by traditional manual work. Therefore, this paper proposes a new…

For an oil well, we can determine the working conditions of drilling wells and whether there is an accident by logging data. However, it takes a long time to analyze logging curves by traditional manual work. Therefore, this paper proposes a new…

Background: Since the introduction of the first electrical resistivity well log by Marcel and Conrad Schlumberger in 1927, the field of petrophysical well logging experienced significant technological advancements [3]. One of the new technologies was…

Big data-driven ensemble learning is explored in this paper for quantitative geological lithofacies modeling, which is an integral and challenging part of petroleum reservoir development and characterization. Quantitative lithofacies modeling…

Hydrocarbon production from shale formation has become an essential part of the global energy supply in the past decade. The life of a project in an unconventional play significantly depends on the prediction of Estimated Ultimate Recovery (EUR).…

Objectives/Scope: Well integrity monitoring is one of the critical processes in oil and gas wells to prevent unintended fluid movement or loss of containment to the environment. In this case study, there was continuous gas leakage to surface at high…

For an oil well, we can determine the working conditions of drilling wells and whether there is an accident by logging data. However, it takes a long time to analyze logging curves by traditional manual work. Therefore, this paper proposes a new…

Hydrocarbon production from shale formation has become an essential part of the global energy supply in the past decade. The life of a project in an unconventional play significantly depends on the prediction of Estimated Ultimate Recovery (EUR).…

Objectives/Scope: Well integrity monitoring is one of the critical processes in oil and gas wells to prevent unintended fluid movement or loss of containment to the environment. In this case study, there was continuous gas leakage to surface at high…

Subsea completions offer a number of advantages, but intervention operations can be complex and expensive. A horizontally completed multilateral well exhibited unexpected sand production and a tubing leak leading to the well being shut in. This paper…

The casing corrosion problem in Changqing Oil Region has long troubled oilfield development which caused a serious loss of production capacity. For a large number of corroded perforated wells, the accurate identification of the water outlet has…

Hydrocarbon production from shale formation has become an essential part of the global energy supply in the past decade. The life of a project in an unconventional play significantly depends on the prediction of Estimated Ultimate Recovery (EUR).…

Objectives/Scope: Well integrity monitoring is one of the critical processes in oil and gas wells to prevent unintended fluid movement or loss of containment to the environment. In this case study, there was continuous gas leakage to surface at high…

Background: Since the introduction of the first electrical resistivity well log by Marcel and Conrad Schlumberger in 1927, the field of petrophysical well logging experienced significant technological advancements [3]. One of the new technologies was…

Big data-driven ensemble learning is explored in this paper for quantitative geological lithofacies modeling, which is an integral and challenging part of petroleum reservoir development and characterization. Quantitative lithofacies modeling…

For an oil well, we can determine the working conditions of drilling wells and whether there is an accident by logging data. However, it takes a long time to analyze logging curves by traditional manual work. Therefore, this paper proposes a new…

Background: Since the introduction of the first electrical resistivity well log by Marcel and Conrad Schlumberger in 1927, the field of petrophysical well logging experienced significant technological advancements [3]. One of the new technologies was…

Big data-driven ensemble learning is explored in this paper for quantitative geological lithofacies modeling, which is an integral and challenging part of petroleum reservoir development and characterization. Quantitative lithofacies modeling…

Leakage pathways through caprock lithologies for underground storage of CO2 and/or enhanced oil recovery (EOR) include intrusion into nano-pore mudstones, flow within fractures and faults, and larger-scale sedimentary heterogeneity (e.g., stacked…

To promote adaptation of logging evaluation technologies to the development trend of unconventional oil and gas exploration and development era in China, the current situation and challenges of logging evaluation technologies in China are analyzed…

This paper outlines the systematic approach adopted in carrying out post-production fluid content andcontact analysis in a mature Niger Delta field with more than 50 years production of oil and gas in multi-stacked reservoirs with varying fluid…

The petrophysical evaluation of the Titas gas field (Titas-15) has been carried out for its reservoir characterization and to quantify the reservoir hydrocarbon prospects and gas productivity. The Quick Log Analysis Tool (QLAT) of PE2 Essentials…

The Keshen gas field is located in the central part of Kuqa depression in Tarim Basin, and is another large gas field discovered after Kela2 gas field. Since the breakthrough in 2008, a number of large and medium scale gas reservoirs including…

Currently, it is hard to imagine oil field development management without various surveys, involving resource optimisation for more economical reserves recovery. In this context, the application of new technologies aimed at diagnostics of the state…

Unconventional oil and gas reservoir development requires an understanding of the geometry and complexity of the hydraulic fractures. The current categories of fracture diagnostic approaches include methods for near-wellbore (production & temperature…

This paper presents a practical case of Field Development Planning (FDP) process with extensive use of petroleum asset digital twin facilities. The paper explains the process of setting up both the digital twin and the performance metrics which were…

The use of Nuclear Magnetic Resonance (NMR) logs for petrophysical interpretation and evaluation in the oil and gas industry has increased in recent decades, especially in Brazil, where the use of this technology was increased by more than 400% from…

Leviathan is a giant natural gas field located ~130km west of the Israeli port city of Haifa, in water depths of ~1,700m, and discovered in late 2010 by a venture consisting of Noble Energy (Operator), Delek Drilling and Ratio Oil Exploration. With…

The use of Nuclear Magnetic Resonance (NMR) logs for petrophysical interpretation and evaluation in the oil and gas industry has increased in recent decades, especially in Brazil, where the use of this technology was increased by more than 400% from…
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