High Performance New Ni-Base Alloy AF955 (AF955) for Oil and Gas Industry

Author(s):  
Luca Foroni ◽  
Louis Lherbier ◽  
Carlo Malara
Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3082
Author(s):  
Anna Król ◽  
Monika Gajec ◽  
Ewa Kukulska-Zając

In the oil and gas industry, tracers are used to estimate residual oil saturation, to indicate the location and orientation of fractures in tight reservoirs, to identify and mark the direction of fluid flow in fractured deposits, to locate faults and discontinuities, and to measure fluid movement in injection wells during drilling. The tracers should behave in a mechanically similar manner to the tested substance, e.g., formation waters, oil or gas, and, on the other hand, they should significantly differ from them in terms of chemical properties so that it is possible to identify them. One of the fluorescent tracers used in the oil and gas industry, e.g., for inter-well tests during secondary or tertiary production methods (especially during reservoir hydration), is uranine. In order to assess the effectiveness of fluid movement measurements, it is necessary to determine the uranine content in formation waters. In this study, a method was developed to determine uranine in formation water samples using high-performance liquid chromatography with fluorescence detection (HPLC/FLD). The initial step in preparing samples for chromatographic analysis would be solid phase extraction (SPE). The method was validated and allows for the determination of uranine in formation water samples in the concentration range from 0.030 to 2.80 µg/L. The validation of the method included the analysis of factors influencing the measurement result (sources of uncertainty), determination of the linearity range of the standard curve, determination of the quantification limit of the method, and verification of the reproducibility, selectivity, stability and correctness achieved. The method developed within the study can be successfully applied in the case of the determination of uranine content in formation water samples from the oil and gas mining industry, which are often unstable and characterized by a relatively complex matrix. After validation, the method will also be applicable to the determination of uranine in matrices with a similar physicochemical composition, e.g., to assess groundwater flow in deformed carbonate aquifers or to characterize faults that act as barriers to horizontal groundwater flow.


Author(s):  
Edet Ita Okon ◽  
Dulu Appah ◽  
Joseph A. Ajienka

Python has grown in popularity throughout various industries, corporations, universities, government, and research groups. Its true potential to automate various processes while increased predictability capabilities have been noticed in various industries. The petroleum industry is at the beginning phase of applying it to solve oil and gas problems. The rise in its popularity in the oil and gas industry is due to the digital transformation such as sensors and high-performance computing services that enable artificial intelligence (AI), machine learning (ML), big data acquisition, and storage in digital oilfields. A quick search on the number of publications in the oil and gas industry with the Society of Petroleum Engineers (OnePetro) in the past few years attests to this fact. Hence, it has proven to be a promising application that can bring about a revolutionary change in the oil and gas industry and transform the existing features for solving oil and gas problems. This will help the production and reservoir engineers to better manage the production operation without any need for expensive software. It will also reduce the overall operating cost and increase revenue.


Author(s):  
Петр Тимохин ◽  
Petr Timokhin ◽  
Михаил Михайлюк ◽  
Mikhail Mikhaylyuk

In the paper the task of real-time synthesis of quality images of resulting data obtained in simulation of unstable oil displacement from porous media is considered. A new, GPU-based method to construct and visualize on UltraHD screens a polygonal model of the isosurface of the saturation of displacing liquid was proposed. The method is based on distributing and parallelizing of «marching cubes» threads between GPU cores by means of programmable tessellation. As initial graphic primitives, quadrangular parametric patches are used, the processing of which on the GPU is high-performance and has low video memory overhead. The proposed method was implemented in visualization software and successfully tested. The proposed solution can be used in researches in oil and gas industry as well as in virtual environment systems, virtual laboratories, scientific and educational applications, etc.


2021 ◽  
Author(s):  
Kingsley Okenyi ◽  
Ejiro Ogbodu ◽  
Abayomi Apena ◽  
Olalekan Olagunju

Abstract The importance of HSE in oil and gas activities especially in drilling operations cannot be overemphasized. Over the years, many systems of how to reduce and eliminate HSE challenges in our operations have been implemented. These systems keep changing to meet goal zero target. Despite the implementation and the published advances in HSE approaches and tools, HSE performance continues to be at least one incident above target which is Goal Zero. This paper is focused on identifying if the Best Value Approach (BVA) can be modified into a HSE leadership model to help HSE leaders, frontline barrier leaders with delivering GOAL ZERO. This paper specifically focuses on identifying the unique practice of the BVA that has generated a significant amount of documented high-performance results in the procurement of services and project management. This paper will translate this proven performance to HSE leadership. The paper will match this theory with a current HSE leadership practice of Assist and Assure in Shell. The aim, match theory to practice and then to theory and then produce a concept that will help HSE leaders optimise the implementation of the Assist and Assure Process.


2016 ◽  
Vol 13 (25) ◽  
pp. 16-22
Author(s):  
Daniel Antonio Kapper FABRICIO ◽  
Lisiane TREVISAN ◽  
Telmo Roberto STROHAECKER

Quality monitoring of production processes, from raw material to final product, enables decision-making and quality assurance of the product. The KIC value is a property of brittle metallic materials, which present limited amount of plastic deformation at the crack tip under linear-elastic conditions. In the field of ​​mechanical testing, it is important to obtain fracture toughness properties, including KIC parameter, because the oil and gas industry requires high performance materials even in severe conditions. The Guide to the Expression of Uncertainty in Measurement (GUM) represents a methodology for the estimation of measurement uncertainty in quantitative tests, and is based on the law of propagation of uncertainties. This work presents the deployment and application of GUM steps in the estimation of the KIC measurement uncertainty. The results were analyzed in order to check which sources contributed most to the combined uncertainty, concluding that the largest contribution was due to the variability between specimens. We expect, with this work, to encourage other laboratories to implement GUM for fracture toughness tests, and also to fill a literature gap in this field.


2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Reynaldo Fabian Noriega ◽  
Sergio Alberto Abreo- Carillo ◽  
Ana Beatríz Ramírez- Silva

Full Waveform Inversion (FWI) is a common technique used in the oil and gas industry due to its capabilities to estimate subsurface characteristics such as material’s density and sound velocity with high resolution. The 2D time domain FWI method involves the modeling of the forward wavefield of the source and the backpropagated field of the difference between the modeled and observed data. Therefore, due to its high computational cost in terms of RAM consumption and execution time, the High Performance Computing (HPC) field is very useful to deal with these problems. There are computational state-of-the-art solutions that allow to increase the execution time such as the parallel programming paradigm that involves the use of multicore processor systems. Furthermore, there are mathematical solutions leveraging on the properties of the algorithm used that make it possible to enhance performance of the method. We propose in this paper a new way to compute the FWI gradient, by taking advantage of an inner product property. Additionally, a computational strategy is combined with this proposal in the inversion scheme, thus improving FWI performance.


2004 ◽  
Vol 44 (1) ◽  
pp. 771
Author(s):  
L. Doig ◽  
R. Griffiths ◽  
J. Robertson

One of the key barriers to significant cost-savings and harnessing opportunities for growth in the Australian oil and gas industry is lack of trust, openness and misalignment between companies, among teams and among individuals.In research undertaken for APPEA’s Australian Competitive Energy (ACE) initiative over the last three years, one of the top three barriers to growth continually cited by senior and middle level managers has been culture and behaviours. Examples include misalignment between operators and contractors, management and the workforce, joint venture partners, industry and government, and the industry and the community.In the next five years, the Australian oil and gas industry is facing a skills shortage, technically challenging projects with less people and adaptive challenges. Adaptive challenges (Heifetz and Laurie, 2000) are ones where the:problems and solutions are unclear;the solution does not work through command and control;requires a new way of thinking and acting; andrequires the entire organisation to be engaged.Examples of adaptive challenges for our industry are:finding new gas markets;exploration in sensitive areas;high rig mobilisation costs for a small market; andretaining a skilled workforce.These challenges require companies to find new ways of:Attracting and keeping talented people;Increasing profits and shareholder value; andIncreasing creativity and productivity.Adaptive challenges can be achieved by building cultural capital.This paper outlines:Research and feedback from Australian Operations Managers, Supply Managers, Project Managers and Drilling Managers about the need for improving the culture and behaviours;The business case for why building a high performance culture is considered the competitive advantage of the 21st century;How to measure culture including the diagnostic tool used for the CEO workshop;Results from the diagnostic of the CEO group and implications;andHow to move forward individually, as companies and as an industry.The purpose of this paper is to foster debate and discussion about developing a high performing culture in the Australian oil and gas industry. We intuitively know that valuing our people makes good business sense. To transform the industry’s culture, it is not the organisations that transform, but the people. Shifting the culture requires leadership, courage and commitment from the industry’s senior management.


2014 ◽  
Vol 1079-1080 ◽  
pp. 58-61 ◽  
Author(s):  
Vitaliy Gladkikh ◽  
Evgenij Valerjevich Korolev ◽  
Olga I. Poddaeva ◽  
Vladimir A. Smirnov

Currently, there is a strong need of high-performance and environment-friendly paving materials in Russian Federation. Sulfur dumps near the oil industry enterprises consumes area which otherwise could be occupied by vegetation, contributing to the improvement of the environmental situation. Incorporation of sulfur in bulk building materials contributes to decrease of load to the environment. The results of numerous studies of sulfur-extended asphalt concretes are summarized in the present work. For the suppression of hydrogen sulfide and sulfur dioxide we propose to use the complex nanoscale modifier. The application of such modifier leads to several positive effects. Both amount of sulfur in constructional mix and mobility of the mix can be increased. The values of operational properties, notably compressive strength and resistance to rutting, can also be increased. Due to consumption of industrial by-product, the environmental load decreases in regions near the oil and gas industry enterprises.


Author(s):  
Eugene B. Caldona ◽  
John Ryan C. Dizon ◽  
Robert Andrew Viers ◽  
Vincent Joseph Garcia ◽  
Zane J. Smith ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document