Scale discrepancy paradox between observation and modelling in fractured reservoir models in oil and gas industry.

2020 ◽  
Author(s):  
Pascal Richard ◽  
Loïc Bazalgette
Keyword(s):  
Oil And Gas ◽  
Dynamic Models ◽  
Fractured Reservoirs ◽  
Research Work ◽  
Oil And Gas Industry ◽  
Naturally Fractured Reservoirs ◽  
Natural Fracture ◽  
Fractured Reservoir ◽  
Dynamic Data ◽  
Gas Industry

<p>Naturally fractured reservoirs represent one of the most challenging resource in the oil and gas industry. The understanding based on centimeter scale observations is upscaled and modeled at 100-meter scale.</p><p>In this paper, we will illustrate with case study examples of conceptual fracture model elaborated using static and dynamic data, the disconnect between the scale of observation and the scale of modelling. We will also discuss the potential disconnect between the detail of fundamental, but necessary, research work in universities against the coarse resolution of the models built in the oil industry, and how we can benefit of the differences in scales and approaches.</p><p> </p><p>The appraisal and development of fractured reservoirs offer challenges due to the variations in reservoir quality and natural fracture distribution. Typically, the presence of open, connected fractures is one of the key elements to achieve a successful development. Fracture modelling studies are carried out routinely to support both appraisal and development strategies of these fractured reservoirs.</p><p>Overall fracture modelling workflow consists first of a fracture characterization phase concentrating on the understanding of the deformation history and the evaluation of the nature, type and distribution of the fractures; secondly of a fracture modelling part where fracture properties for the dynamic simulation are generated and calibrated against dynamic data. The pillar of the studies is the creation of 3D conceptual fracture diagrams/concepts which summarize both the understanding and the uncertainty of the fracture network of interest. These conceptual diagrams rely on detailed observations at the scale of the wellbore using core and borehole image data which are on contrasting scale compare to the 10’s of meters to 100’s of meter scale of the grid cells of the dynamic models used for the production history match and forecast. These contrasting scales will be the thread of the presentation.</p>

Scale discrepancy paradox between observation and modelling in fractured reservoir models in oil and gas industry.

2021 ◽  
Author(s):  
Pascal Richard ◽  
Loic Bazalgette
Keyword(s):  
Oil And Gas ◽  
Dynamic Models ◽  
Fractured Reservoirs ◽  
Research Work ◽  
Oil And Gas Industry ◽  
Naturally Fractured Reservoirs ◽  
Natural Fracture ◽  
Fractured Reservoir ◽  
Dynamic Data ◽  
Gas Industry

<p>Naturally fractured reservoirs represent one of the most challenging resource in the oil and gas industry. The understanding based on centimeter scale observations is upscaled and modeled at 100-meter scale.</p><p>In this paper, we will illustrate with case study examples of conceptual fracture model elaborated using static and dynamic data, the disconnect between the scale of observation and the scale of modelling. We will also discuss the potential disconnect between the detail of fundamental, but necessary, research work in universities against the coarse resolution of the models built in the oil industry, and how we can benefit of the differences in scales and approaches.</p><p> </p><p>The appraisal and development of fractured reservoirs offer challenges due to the variations in reservoir quality and natural fracture distribution. Typically, the presence of open, connected fractures is one of the key elements to achieve a successful development. Fracture modelling studies are carried out routinely to support both appraisal and development strategies of these fractured reservoirs.</p><p>Overall fracture modelling workflow consists first of a fracture characterization phase concentrating on the understanding of the deformation history and the evaluation of the nature, type and distribution of the fractures; secondly of a fracture modelling part where fracture properties for the dynamic simulation are generated and calibrated against dynamic data. The pillar of the studies is the creation of 3D conceptual fracture diagrams/concepts which summarize both the understanding and the uncertainty of the fracture network of interest. These conceptual diagrams rely on detailed observations at the scale of the wellbore using core and borehole image data which are on contrasting scale compare to the 10’s of meters to 100’s of meter scale of the grid cells of the dynamic models used for the production history match and forecast. These contrasting scales will be the thread of the presentation.</p>

Clustering, Connectivity and Flow in Naturally Fractured Reservoir Analogs

2021 ◽  
Author(s):  
Ajay K. Sahu ◽  
Ankur Roy
Keyword(s):  
Fractal Dimension ◽  
Oil And Gas ◽  
Flow Behavior ◽  
Oil And Gas Industry ◽  
Fracture Network ◽  
Natural Fracture ◽  
Fractured Reservoir ◽  
Fracture Networks ◽  
Gas Industry ◽  
Network Geometry

Abstract A previous study by the authors on synthetic fractal-fracture networks showed that lacunarity, a parameter that quantifies scale-dependent clustering in patterns, can be used as a proxy for connectivity and also, is an indicator of fluid flow in such model networks. In this research, we apply the concepts thus developed to the study of fractured reservoir analogs and seek solutions to more practical problems faced by modelers in the oil and gas industry. A set of seven nested fracture networks from the Devonian Sandstone of Hornelen Basin, Norway that have the same fractal-dimension but are mapped at different scales and resolutions is considered. We compare these seven natural fracture maps in terms of their lacunarity and connectivity values to test whether the former is a reasonable indicator of the latter. Additionally, these maps are also flow simulated by implementing a fracture continuum model and using a streamline simulator, TRACE3D. The values of lacunarity, connectivity and fluid recovery thus obtained are pairwise correlated with one another to look for possible relationships. The results indicate that while fracture maps that have the same fractal dimension show almost similar connectivity values, there exist subtle differences such that both the connectivity and clustering values change systematically with the scale at which the fracture networks are mapped. It is further noted that there appears to be a very good correlation between clustering, connectivity, and fluid recovery values for these fracture networks that belong to the same fractal system. The overall results indicate that while the fractal dimension is an important parameter for characterizing a specific type of fracture network geometry, it is the lacunarity or scale-dependent clustering attribute that controls connectivity in fracture maps and hence the flow properties. This research may prove helpful in quickly evaluating connectivity of fracture networks based on the lacunarity parameter. This parameter can therefore, be used for calibrating Discrete Fracture Network (DFN) models with respect to connectivity of reservoir analogs and can possibly replace the fractal dimension which is more commonly used in software that model DFNs. Additionally, while lacunarity has been mostly used for understanding network geometry in terms of clustering, we, for the first time, show how this may be directly used for understanding the potential flow behavior of fracture networks.

Comparative Analysis of the Rheological Behaviour of Irvingia Gabonensis Ogbono and Foreign Polymer for Bentonite Formulated Mud.

2021 ◽  
Author(s):  
Emmanuel Ayodele ◽  
David Ekuma ◽  
Ikechukwu Okafor ◽  
Innocent Nweze
Keyword(s):  
Rheological Properties ◽  
Oil And Gas ◽  
Drilling Fluid ◽  
Research Work ◽  
Rheological Behaviour ◽  
Oil And Gas Industry ◽  
Drilling Mud ◽  
Gas Industry ◽  
Local Product ◽  
Irvingia Gabonensis

Abstract Drilling fluid are complex fluids consisting of several additives. These additives are added to enhance and control the rheological properties (such as viscosity, gel strength and yield point) of the mud. These properties are controlled for effective drilling of a well. This research work is focused on determining the rheological behavior of drilling mud using industry-based polymer and Irvingia Gabonensis (ogbono) as viscosifiers. Water based muds were formulated from the aforementioned locally sourced viscosifier and that of the conventional used viscosifier (Carboxylmetyl cellulose, CMC). Laboratory tests were carried out on the different muds formulated and their rheological properties (such as yield stress, shear stress, plastic viscosity and shear rate) are evaluated. The concentration of the viscosifiers were varied. The expected outcome of the research work aims at lowering the total drilling cost by reducing the importation of foreign polymer which promotes the development of local content in the oil and gas industry. The research compares the rheology of mud samples and the effect of varying the concentration (2g, 4g, 6g, 8g, and 10g) of both CMC and Ogbono and determining the changes in their rheological properties. The total volume of each mud sample is equivalent to 350ml which represent one barrel (42gal) in the lab. From the result, at concentration of 2g, the ogbono mud has a better rheology than the CMC mud, but at a concentration above 2g, CMC mud shows a better rheology than ogbono mud, that is, as the concentration of CMC is increased, the rheological properties of the mud increased while as the concentration of ogbono is increased the rheological properties decreased. The viscosity of the drilling fluid produced from the ogbono were lower than that of CMC, it could be used together with another local product such as cassava starch, offor or to further improve the rheology and then be a substitute to the conventional viscosifiers.

scholarly journals Crypto Hash Algorithm-Based Blockchain Technology for Managing Decentralized Ledger Database in Oil and Gas Industry

J ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 300-325 ◽  
Author(s):  
Lukman Adewale Ajao ◽  
James Agajo ◽  
Emmanuel Adewale Adedokun ◽  
Loveth Karngong
Keyword(s):  
Embedded System ◽  
Petroleum Product ◽  
Oil And Gas ◽  
Research Work ◽  
Oil And Gas Industry ◽  
Product Distribution ◽  
Gas Industry ◽  
Blockchain Technology ◽  
Distributed Ledger ◽  
Hash Algorithm

This research work proposes a method for the securing and monitoring of petroleum product distribution records in a decentralized ledger database using blockchain technology. The aim of using this technique is to secure the transaction of distributed ledgers in a database and to protect records from tampering, fraudulent activity, and corruption by the chain participants. The blockchain technology approach offers an efficient security measure and novel advantages, such as in the transaction existence and distribution ledger management between the depot, transporter, and retailing filling station. Others advantages are transparency, immunity to fraud, insusceptibility to tampering, and maintaining record order. The technique adopted for this secure distributed ledger database is crypto hash algorithm-1 (SHA-1)-based public permissioned blockchain and telematics, while this telematics approach is an embedded system integrated into an in-vehicle model for remote tracking of geolocation (using Global Positioning System (GPS)), monitoring, and far-off data acquisition in a real-time. The scope of the data in the secure distributed ledger database (using blockchain) developed are identification (ID) of the tanker operator, Depot name, Source station ID, Destination station ID, Petroleum product volume, Transporter ID, and Geographic automobiles location. This system proved to be efficient, secure, and easy to maintain as it does not permit any individual for records tampering, but supports agreement of ~75% of participants in the chain to make changes.

Transdisciplinary Application of Functional Materials in Petroleum Engineering

2021 ◽  
Vol 1035 ◽  
pp. 649-654
Author(s):  
Gu Fan Zhao ◽  
Rui Yao Wang
Keyword(s):  
Information Technologies ◽  
Oil And Gas ◽  
New Technologies ◽  
Research Work ◽  
Functional Materials ◽  
Oil And Gas Industry ◽  
Petroleum Engineering ◽  
Densified Wood ◽  
Gas Industry ◽  
Literature Metrology

Currently, transdisciplinary integration has become increasingly close, and has gradually become the source of innovation. At the same time, petroleum engineering technologies demand more new technologies like functional materials and electronic information technologies. In order to effectively promote technological innovation and development of the petroleum engineering, it is important to continuously monitor, analyze and evaluate the latest development of the technologies outside of the oil and gas industry. This paper combines qualitative analysis of onsite demands, application cases, technical characteristics, and quantitative analysis of literature metrology, patent evaluation, technology maturity, to evaluate the application prospects of densified wood, liquid metal and poly (thioctic acid) in the field of petroleum engineering, and specific transdisciplinary suggestions are put forward. It is recommended to carry out pre-research work for the potential application of functional materials in the petroleum engineering, and it is expected to introduce new materials for downhole tools, new antennas for downhole instruments, extend long-term effectiveness of downhole plugging, and improve drilling efficiency.

Predicting erosion in wet gas pipelines/elbows by mathematical formulations and computational fluid dynamics modeling

2017 ◽  
Vol 232 (10) ◽  
pp. 1240-1260
Author(s):  
Ruben Cuamatzi-Meléndez ◽  
MA Hernandez Rojo ◽  
AO Vázquez-Hernández ◽  
Francisco L Silva-González
Keyword(s):  
Oil And Gas ◽  
Fluid Dynamic ◽  
Research Work ◽  
Oil And Gas Industry ◽  
Empirical Models ◽  
Engineering Structures ◽  
Gas Industry ◽  
Sand Erosion ◽  
Sand Particles ◽  
Modeling Strategy

Sand erosion has been identified as a potential damage and failure mechanism in pipelines/elbows employed to transport gas from wells to terminals. Erosion can cause localized material loss decreasing the structural integrity of pipelines/elbows leading to failure. As a result, sand erosion has been the object of much research work in the oil and gas industry. The prediction of erosion caused by sand transported by hydrocarbons flow is a difficult task due to the large number of variables involved. At present, a great number of empirical models have been developed to predict sand erosion in smaller diameter pipelines under laboratory conditions. Therefore, such formulations generally present uncertainties for their application in larger diameter pipelines employed to transport oil and gas because there is no fundamental basis showing how the empirical formulations can be extrapolated to large diameters pipelines as most of the models have been developed on the basis of elementary laboratory experiments, which may not represent the real sand erosion conditions. Furthermore, most of the analytical/empirical models were developed for specific pipeline/elbows diameters and cannot be employed to predict erosion in different engineering structures. Hence, in the present work a computational fluid dynamic modeling strategy is proposed, which incorporated fundamental physically erosion parameters to predict erosion in larger diameter pipelines/elbows. The methodology was applied to different elbows/pipelines diameters in order to investigate how pipeline's diameter, sand production rate, and sand particles sizes affect the erosion mechanism and the erosion rate. The results showed the importance of including fluid and flow conditions, sand particles trajectory, and self-particles movement. The computational fluid dynaimcs results were compared with those obtained with the most employed empirical models to predict sand erosion in the oil and gas industry models published in the literature, and it was shown that the proposed modeling strategy can be used to predict erosion in larger diameters pipelines/elbows with good results.

scholarly journals Russian oil and gas industry as a sphere of international interests and economic cooperation

2020 ◽  
Vol 161 ◽  
pp. 01006 ◽  
Author(s):  
Lyubov Vasilievna Larchenko ◽  
Roman Aleksandrovich Kolesnikov ◽  
Liliya Mukhametova
Keyword(s):  
Oil And Gas ◽  
Raw Materials ◽  
Research Work ◽  
Oil And Gas Industry ◽  
Economic Cooperation ◽  
The Arctic ◽  
Gas Industry ◽  
Considerable Uncertainty ◽  
The North ◽  
Oil And Gas Resources

Russia’s oil and gas resources fall within the sphere of interests of Western European and a number of Asian countries, mainly China, for which a stable supply of the economy with hydrocarbon raw materials is the most important factor in the development of the economy. At the same time, the vast majority of resources are located in the North and the Arctic zone of Russia. Under conditions of considerable uncertainty in the energy markets, international cooperation between the countries of the Organization of Petroleum Exporting Countries and Russia to regulate the functioning of the industry has deepened. The article shows that in the context of reduced resources, complicating mining conditions, coordination of efforts to conduct joint fundamental research work is necessary. Further successful economic cooperation should be based on the harmonization of the economic interests of all stakeholders.

Deployment of Digital NDT Solutions in the Oil and Gas Industry

2020 ◽  
Vol 78 (7) ◽  
pp. 861-868
Author(s):  
Casper Wassink ◽  
Marc Grenier ◽  
Oliver Roy ◽  
Neil Pearson
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry
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