scholarly journals A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design Problem

Author(s):  
Leonardo de Pádua Agripa Sales ◽  
Anselmo Ramalho Pitombeira-Neto ◽  
Bruno de Athayde Prata

Oil and gas production is moving deeper and further offshore as energy companies seek new sources, making the field layout design problem even more important. Although many optimization models are presented in the revised literature, they do not properly consider the uncertainties in well deliverability. This paper aims at presenting a Monte Carlo simulation integrated with a genetic algorithm that addresses this stochastic nature of the problem. Based on the results obtained, we conclude that the probabilistic approach brings new important perspectives to the field development engineering.

2018 ◽  
pp. 11-20 ◽  
Author(s):  
Yu. V. Vasilev ◽  
D. A. Misyurev ◽  
A. V. Filatov

The authors created a geodynamical polygon on the Komsomolsk oil and gas condensate field to ensure the industrial safety of oil and gas production facilities. The aim of its creation is mul-tiple repeated observations of recent deformation processes. Analysis and interpretation of the results of geodynamical monitoring which includes class II leveling, satellite observations, radar interferometry, exploitation parameters of field development provided an opportunity to identify that the conditions for the formation of recent deformations of the earth’s surface is an anthropogenic factor. The authors identified the relationship between the formation of subsidence trough of the earth’s surface in the eastern part of the field with the dynamics of accumulated gas sampling and the fall of reservoir pressures along the main reservoir PK1 (Cenomanian stage).


2020 ◽  
pp. 31-41
Author(s):  
Yu. V. Vasilev ◽  
D. A. Misyurev ◽  
D. P. Inozemtsev ◽  
P. I. Bezhan

The article gives valuable information on geodynamic monitoring. We created a geodynamical polygon to ensure the industrial safety of oil and gas production facilities. It was created on the Kogalym oil field for multiple repeated observations of recent deformation processes. Analysis and interpretation of the results of geodynamical monitoring: satellite observations, exploitation parameters of field development provided an opportunity to identify that an anthropogenic factor is one of the conditions for the formation of recent deformations of the Earth's surface.


Author(s):  
Sung-Kyoon Kim ◽  
Myung-Il Roh ◽  
Ki-Su Kim

An offshore platform has several modules that contain much of the equipment needed for oil and gas production, and these are placed on the limited space of the topside. Furthermore, the equipment layout should leave sufficient space in between to ensure operability, maintainability, and safety. Thus, the design problem to arrange the topside of an offshore platform can be difficult to solve due to the number of modules and equipment placed on the topside. This study proposes a method to arrange the offshore topside based on an expert system and multistage optimization in order to obtain the optimal arrangement that addresses various considerations and satisfies the given requirements. The proposed method consists of four components. First, an expert system is proposed to systematically computerize experts' knowledge and experience and to evaluate the feasibility of alternatives for the arrangement of the offshore topside. Second, a multistage optimization method is proposed to yield a better arrangement design by formulating the arrangement design problem as an optimization problem with two stages. Third, an arrangement template model (ATM) was proposed to store the arrangement data of the offshore topside. Fourth, the user interface was developed to run the expert system and for optimization. A prototype program was then developed to solve an floating, production, storage, and offloading (FPSO) topside problem in order to evaluate the applicability of the proposed method. The results showed that the proposed method can be used to obtain the optimal arrangement of an offshore topside.


Author(s):  
Ali Taghipour ◽  
Torbjørn Vrålstad ◽  
Ragnhild Skorpa ◽  
Mohammad Hossain Bhuiyan ◽  
Jan David Ytrehus ◽  
...  

Abstract Wells are essential in oil and gas production and construction of them is one of the main cost drivers for field development. It is normally needed to drill and construct new wells from existing fields during most of the production time. In order to reduce costs one can re-use parts of existing wells when they are no longer efficient. This is done in offshore fields also when there is limitation for new wells due to capacity of the subsea template. Through tubing drilling is a method to drill a side track through the wellbore tubulars. However, this will normally result in a smaller and less effective well completion. Removing parts of the casing section and drill a larger size sidetrack is an option to provide a new full-size wellbore. Removing the 9 5/8” casing through the settled particle in the annulus can be challenging. The wellbore annulus is normally filled with old drilling fluid, displacing fluid and/or cement slurry. The solid particles of these annular fluids are settled during years of shut-in and make it difficult to move the casing sections. There are several techniques for pulling the casing section, but there is a lack of knowledge of some of the key mechanism causing the resistance in these operations. In order to study and address the dominating effects in these operations, down-scaled laboratory tests are performed. The experiments reported here are performed by pulling steel pipes through the settled barite in the annulus. The pipes used in the tests are down-scaled from typical casing sizes with and without collars. The barite slurry compacted inside the annulus have different hydrostatic and pore pressures. When the pipe is pulled the required mechanical force is measured. Results show that the single most significant factor causing resistance when pulling the tubulars is the collars outside the pipe. Furthermore, it is identified that the pore pressure improves the mobility of the settled particle around the collar. In total these results provide improved understanding on the dominating factors during pulling pipes from a packed annulus.


2019 ◽  
Vol 105 ◽  
pp. 01003
Author(s):  
Sergey Milyushenko

The article is devoted to the discussion of improving the quality of oil and gas production, through the introduction of new technologies for the extraction and processing of natural resources. As well as to the procedure, which aims to ensure the increase in the volume of mineral resource (liquid hydrocarbons) and to optimization of production costs in modern enterprises of oil and gas industry. The development of “smart” technologies in the oil and gas industry is mainly associated with a reduction in proven oil and gas resources in the Russian Federation. However, there are oil and gas reserves in places with an unfavorable climate, which significantly increases the cost of developing such deposits. For solving this problem, the “smart” technology “Smart Field” development is proposed.


2002 ◽  
Vol 20 (4) ◽  
pp. 289-298 ◽  
Author(s):  
I. Lerche ◽  
S. Noeth

Deciding whether to buy new information to potentially improve the residual reserves of a producing oilfield, and what price to pay for the information, which may or may not actually improve the reserves picture, is a problem of some concern to field development and production economics. Here we show how the worth of obtaining new information depends not only on the reserves produced to date but also on the residual reserves still to be produced, on the probability that purchase of new information will indeed improve the known reserves, on the value estimated to be produced by the acquisition, and on the cost of the acquisition. There are also dependencies on production and lifting costs but these are not considered in detail here. The timing of a decision whether to acquire new data and how much to pay for it, are illustrated using total profitable gains made to date as a proxy for time. Two simple examples are worked through in detail so that one can see when the uncertainty of possible gains from newly acquired information are sufficient, relative to costs and the worth of residual reserves still to be produced, to allow management to make an informed and rational decision on whether to acquire and when to acquire new information in respect of the life of the field without such acquisition.


2020 ◽  
Vol 1 (8) ◽  
pp. 80-86
Author(s):  
L. N. KRASNOVA ◽  
◽  
L. V. GUSAROVA ◽  
A. Ya. GAFUROVA ◽  
A. F. ZABBAROVA ◽  
...  

The article is devoted to evaluating the effectiveness of implementing the APRS-18 lifting unit in order to improve the technology of underground repair of oil wells that have entered the late stage of development. The feasibility of implementing the unit is justified by the current stage of development of PJSC Tatneft and the state of the reserves structure of the developed fields. In conditions when the share of hard-to-recover oil reserves has increased to 86%, effective field development is impossible without the introduction of new equipment and technology. The article highlights the advantages of the APRS-18 lifting unit for repairing deeper wells working on Devon, and outlines the goals and objectives of implementing the unit. The economic efficiency of implementing APRS-18 units in Yamashneft NGDU, which is one of the leading oil and gas production departments in the structure of PJSC Tatneft, is calculated. Risks and uncertainties of the project are considered and identified, and the effectiveness of its implementation is proved at relatively low capital costs


2020 ◽  
Author(s):  
Sudad H Al-Obaidi ◽  
Kamensky IP ◽  
Smirnov VI

Oil and gas production using formation thermal stimulation or treatment represents one of the main enhanced oil recovery methods. In this study the thermal properties of rocks and their relationship to the nature of rock saturation were investigated.The method, experimental setup, and results of studying the thermal characteristics of fine - and medium-grained highly porous sandstones at their different saturation are presented. The highest values of thermal diffusivity, thermal conductivity and heat capacity correspond to water-saturated samples, smaller values correspond to oil-saturated ones and the lowest values corresponds to dry (extracted) samples. The obtained data can be used in the selection of the technology of thermal formation stimulation on the reservoir and control over the process of oil field development.


Geophysics ◽  
2016 ◽  
Vol 81 (4) ◽  
pp. IM35-IM43 ◽  
Author(s):  
Alexander Kobrunov ◽  
Ivan Priezzhev

Multivariate predictive analysis is a widely used tool in the petroleum industry in situations in which the deterministic nature of the relationship between a variable that requires prediction and a variable that is used for the purposes of such prediction is unknown or very complex. For example, to perform a sweet-spot analysis, it is necessary to predict potential oil and gas production rates on a map, using various geologic and geophysical attribute maps (porosity, density, seismic attributes, gravity, magnetic, etc.) and the initial oil and gas production rates of several control or training wells located in the area of interest. We have developed a new technology that allows for building a stable nonlinear predictive operator by using the combination of a neural network, a genetic algorithm, and a controlled gradient method. The main idea behind the proposed technology is to combine stochastic and deterministic approaches during the construction of the predictive operator at the training stage. The proposed technology avoids many disadvantages of the genetic algorithm and gradients methods, such as a high level of dependency on the initial values; the phenomenon of over-fitting (overtraining), which results in creation of an operator with unstable predictability; and a low speed of decreasing error during iteration, and, as a result, a low level of prediction quality. However, the above-mentioned combination uses the advantages of both methods and allows for finding a solution significantly closer to a global minimum for the objective function, compared to simple gradient methods, such as back propagation. The combination of these methods together with Tikhonov regularization allows for building stable predictions in spatial or/and time coordinates.


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