scholarly journals Mathematical model of the optimization of technological development of oil and gas industry

2020 ◽  
Vol 2020 (1) ◽  
pp. 4-13
Author(s):  
M.I. Kaplin ◽  
◽  
V.M. Makarov ◽  
M.O. Perov ◽  
◽  
...  
Keyword(s):  
Mathematical Model ◽  
Oil And Gas ◽  
Technological Development ◽  
Oil And Gas Industry ◽  
Gas Industry

scholarly journals Optimization of Silver Nanoparticle Separation Method from Drilling Waste Matrices

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1950
Author(s):  
Monika Gajec ◽  
Ewa Kukulska-Zając ◽  
Anna Król
Keyword(s):  
Inductively Coupled Plasma ◽  
Oil And Gas ◽  
Produced Water ◽  
Technological Development ◽  
Drilling Fluid ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Inductively Coupled ◽  
Drilling Waste ◽  
Wastewater Samples

Significant amounts of produced water, spent drilling fluid, and drill cuttings, which differ in composition and characteristics in each drilling operation, are generated in the oil and gas industry. Moreover, the oil and gas industry faces many technological development challenges to guarantee a safe and clean environment and to meet strict environmental standards in the field of processing and disposal of drilling waste. Due to increasing application of nanomaterials in the oil and gas industry, drilling wastes may also contain nanometer-scale materials. It is therefore necessary to characterize drilling waste in terms of nanomaterial content and to optimize effective methods for their determination, including a key separation step. The purpose of this study is to select the appropriate method of separation and pre-concentration of silver nanoparticles (AgNPs) from drilling wastewater samples and to determine their size distribution along with the state of aggregation using single-particle inductively coupled plasma mass spectrometry (spICP-MS). Two AgNP separation methods were compared: centrifugation and cloud point extraction. The first known use of spICP-MS for drilling waste matrices following mentioned separation methods is presented.

CERTAINTY IN UNCERTAIN TIMES: CONSIDERING FORCE MAJEURE

2004 ◽  
Vol 44 (1) ◽  
pp. 761
Author(s):  
S.K. Dharmananda ◽  
N.A. Kingsbury
Keyword(s):  
21St Century ◽  
Airline Industry ◽  
Oil And Gas ◽  
Technological Development ◽  
Terrorist Attack ◽  
Oil And Gas Industry ◽  
Global Village ◽  
Gas Industry ◽  
Force Majeure ◽  
Oil Rig

Force majeure clauses are particularly relevant to at least two types of oil and gas agreements: operating agreements and long-term contracts. Each type of contract is characteristically exposed to calamitous events that can take many years to manifest. However, force majeure clauses in each type of contract need to reflect the commercial realities and bargain represented by each type of contract.This paper considers whether the types of force majeure clauses that are used in the Australian oil and gas industry would adequately excuse a party relying on them from performing their obligations under a contract in light of some very real 21st century concerns. The beginning of the 21st century has seen remarkable technological development and the creation of a global village where an isolated event in one part of the world can have a significant effect on the entire world. Therefore, the increased likelihood of a terrorist attack against significant infrastructure (eg. an offshore oil rig or gas pipeline) and the emergence of natural phenomena, particularly widespread viral outbreaks such as the SARS virus can have a devastating effect on industry globally, as is being seen in the airline industry. There is some doubt whether standard contract clauses will automatically treat such circumstances as force majeure events.The paper suggests that certain drafting conventions ought to be adopted to address 21st century concerns, and particularly to provide practical solutions for these issues.

Cost Element Modelling, Prediction and Optimization in a Dual-Completion Well During a Coiled Tubing Unloading Operation

2021 ◽  
Author(s):  
Merit P. Ekeregbe
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Cost Estimation ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Correct Prediction ◽  
Reservoir Pressure ◽  
Gas Industry ◽  
Coiled Tubing ◽  
The Mathematical Model

Abstract In an era where cost is a significant component of decision making, every possibility of reducing operational cost in the Oil and Gas industry is a welcome development. The volatile nature of the Oil market creates uncertainty in the industry. One way to manage this uncertainty is by the ability to predict and optimize our operations to reduce all of our cost elements. When cost is planned and predicted as accurately as possible, the operation optimizations can be managed efficiently. Practically, all new drills require CT unloading of the completion or kill fluids to allow the natural flow of the wells. Hitherto, there is no mathematical model that combines information from one of the wells in an unloading dual completion project that can be used to aid decision-making in the other well for the same unloading project and thereby result in an effective cost-saving. Deploying the mathematical model of cost element prediction and optimization can minimize operational unloading costs. The two strings of the dual completion flow from different reservoirs. Still, the link between the two drainages post completion is the kill fluid density, and can aid in cost estimation for optimum benefit. The lesson learned or data acquired from the lifting of the slave reservoir string can be optimized to effectively and efficiently lift the master reservoir string. The decision of first unloading the slave reservoir string is critical for correct prediction and optimization of the ultimate cost. The mathematical model was able to predict the consumable cost elements such as the gallon of nitrogen and time that may be spent on the long string from the correlative analysis of the short string. The more energy is required for unloading the short string and it is the more critical well than the long string because it is the slave string since no consideration as such is given to it when beneficiating the kill fluid to target the long string reservoir pressure with a certain safety overbalance. The rule for the mud weight or the weight of the kill fluid is the highest depth with highest reservoir pressure which is the sand on the long string. With the data from the short string and upper sand reservoir, the lift depth and unloading operation can be optimized to save cost. The short string will incur the higher cost and as such should be lifted last and the optimization can be done with the factor of the LS.

scholarly journals СURRENT STATE OF THE OIL AND GAS INDUSTRY AS A SOURCE OF DEMAND OF INNOVATIONS

2019 ◽  
pp. 68-76 ◽  
Author(s):  
A. Volkov ◽  
R. Shepelev
Keyword(s):  
Oil And Gas ◽  
Technological Development ◽  
Oil And Gas Industry ◽  
Innovative Development ◽  
Development Programs ◽  
Gas Industry ◽  
Foreign Companies ◽  
Current State ◽  
State Participation ◽  
Comparison Of The Results

Current state of innovative development in the oil and gas industry has been considered. The importance of the oil and gas industry for the economic development of the Russian Federation has been noted. Comparison of the results of research and development funding levels among domestic and foreign companies has been performed. A system of private indicators to assess the level of development of innovative activity of companies, taking into account the financial, production and technological indicators of companies, has been proposed. The results of testing this system of indicators have been adduced. The main approaches to the formation of Innovative Development Programs of companies with state participation have been considered. The main tasks of technological development for the domestic oil and gas complex have been highlighted.

scholarly journals Verification of the protective steam curtain model by means of experiment’s results

2018 ◽  
Vol 224 ◽  
pp. 04022 ◽  
Author(s):  
Rail Nasibullin ◽  
Sergey Valeyev ◽  
Ainur Galeyev
Keyword(s):  
Mathematical Model ◽  
Combustion Zone ◽  
Laboratory Experiments ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Third Party ◽  
Gas Industry ◽  
Combustible Gases ◽  
Gas Cloud ◽  
The Mathematical Model

To protect the technological furnaces of the oil and gas industry from the penetration into their combustion zone combustible gases that are accidentally released at the production site, steam curtains are used. In the open press, there are practically no methods that allow to evaluate the efficiency of steam curtains, so the solution of this issue seems to be topical. In this paper, we checked the adequacy of the mathematical model developed by the authors of this article. This model describes the operation of the curtain, the movement of the vapor-gas cloud in space, and the scattering of the cloud by the curtain. The verification was carried out by comparing the results of the simulation with the results of laboratory experiments of third-party authors.

Mathematical model of the functioning of wireless fire monitoring system of the oil and gas industry critical objects

2021 ◽  
Vol 91 ◽  
pp. 8-18
Author(s):  
V. S. Butko ◽  
Keyword(s):  
Mathematical Model ◽  
Monitoring System ◽  
Fire Safety ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Economic Feasibility ◽  
Gas Industry ◽  
Fire Monitoring ◽  
Wireless Monitoring ◽  
Critical Facilities

Introduction. The article presents a mathematical model of the functioning of fire monitoring systems for critical facilities of the oil and gas industry, based on wireless technologies. A multifactor criterion has been developed based on reliability (probability of fail-free operation), noise immunity, service area, efficiency of information transfer, economic feasibility of its use, and the network efficiency. Goals and objectives. Organization of a radio communication network in the fire monitoring system of critical facilities, depending on the required information load and the number of protected facilities in the oil and gas industry. Ensuring continuous monitoring of the security of facilities and timely transmission of information to emergency services. Ensuring the operation of the network to alert the population about possible danger. Methods. To form a multivariate criterion model were used: methods of mathematical modeling of network states to determine the criteria for evaluating a multivariate model, methods of expert assessment to determine the weights of network characteristics, methods of constructing probabilistic systems. Results and its discussion. A generalized criterion has been developed for quantitative assessment of functioning a wireless monitoring system of fire safety of critical facilities in the oil and gas industry based on reliability (probability of failure-free operation), noise immunity, service area, efficiency of information transfer, economic feasibility of its application, and the efficiency of the network. Conclusion. a mathematical model of the functioning of a wireless fire safety monitoring system for critical objects of the oil and gas industry was built based on the modified Jaysuall relations and the provisions of its application were theoretically substantiated, which makes it possible to organize radio communication networks in the fire monitoring system of critical objects, depending on the required information load and the number of protected objects in the oil and gas industry. A generalized (multifactorial) criterion is also proposed to quantitatively assess the functioning of a wireless monitoring system for fire safety of critical facilities in the oil and gas industry and choose the most optimal system in terms of choosing the best technical and operational indicators and economic feasibility. Keywords: oil and gas facilities, critical facilities, wireless monitoring system, queuing system, stream of events, fire safety, mathematical model, fire alarm, communication channels

Sign in / Sign up

Export Citation Format

Share Document