The Importance of Identifying the Evidence of Hydrodynamic Trapping for New Well Placement in Mature Offshore Stupa Field

2020 ◽  
Author(s):  
A. Anshariy
Keyword(s):  
Development Strategy ◽  
Target Location ◽  
Well Placement ◽  
Field Development ◽  
Contact Mapping ◽  
Trapping Mechanism ◽  
The North ◽  
Gas Potential ◽  
Pseudo Potential ◽  
Hydrodynamic Trapping

To predict the hydrocarbon limit and new well placement for future development in the mature Stupa field, hydrodynamic trapping analysis is carried out to find a solution of “tilted” contact hypothesis. The static and dynamic data of 6 exploration wells and 12 development wells were used to recognize the evidence of hydrodynamic trapping. There are multiple pieces of such evidence for hydrodynamic trapping such as variation in fluid contacts, lateral reservoirs drainage and variation of water pseudo potential. This paper will describe identification of tilted gas – water contacts related to hydrodynamic trapping mechanism plays, to predict and map the tilted contact using “u” map as a limit of the field and how a tilted gas-water contacts map leads for opportunity to identify future well development. It is concluded that the hydrodynamic trapping is working in the Stupa field. A new limit of hydrocarbon accumulation as a result of tilted contact mapping using “U” map has significantly changed the field development strategy in the Stupa field. The West Stupa Panel has now become the new target location of future field development for prolonging the production life of the mature Stupa field. At the end of 2019, one development well was drilled at the north flank of West Stupa Panel and showed very good results, which unlocked the remaining gas potential of this panel. Following this positive result, 3 other wells are proposed to develop the remaining stakes in this panel. Identifying the evidence of hydrodynamic trapping and mapping the tilted gas – water contacts had opened new opportunities for further field development in flank areas of the mature gas Stupa field.

scholarly journals Analyzing and evaluation of vintage logs for an integrated reservoir characterization and field development strategy

2020 ◽  
Author(s):  
Abdulmalik Taj-Liad
Keyword(s):  
Development Strategy ◽  
Reservoir Characterization ◽  
Gamma Ray ◽  
Water Saturation ◽  
Computing Time ◽  
Development Study ◽  
Field Development ◽  
The North ◽  
Python Scripting ◽  
East West

Obom field is a mature field in the Greater Ughelli onshore Niger delta, which has been producing since 1967. The field is a simple rollover structure elongated in the east-west direction, and bounded to the north by an east-west trending, south-hading, main growth fault. The reservoirs are made mainly of channel/shoreface complexes. The closures are faults assisted dip closures in shallow reservoir and dip assisted fault closure in deeper sections. As a huge producing field with some potential for further sustainable production, field monitoring is therefore important in the identification of areas of unproduced hydrocarbon. The aim of this study is to evaluate and train logs which will be an input into other discipline for an integrated field development study. Petrophysical parameters were evaluated from logs and plots of shaly sand saturation equations (Waxman smith and Normalized Qv method) were compared to water saturation from drainage capillary pressure and a good match was observed. Due to some radioactive reservoir levels without density and neutron logs, volume of shale was evaluated from both gamma ray (GR) and spontaneous potential (SP) log which was later spliced with data editor to give a final volume of shale . Furthermore, paucity of density logs drove the decision to use neural network for density log training from SP logs- using density SP logs would capture the radioactive level - and TVDSS which went into Seismic to well tie for horizon interpretation. With the aid of python scripting, the flow zone indicator (FZI) workflow was used in evaluating the permeability and hydrocarbon correction on porosity was also done. The use of python scripting saved computing time by more than 70% due to the numbers of wells in the field - fourteen wells. This study demonstrates the effectiveness of integrating trained dataset for a field development study. Hence, has provided a framework for future prediction of reservoir performance and production behavior of the field.

scholarly journals A field development strategy for the joint optimization of flow allocations, well placements and well trajectories

2020 ◽  
pp. 014459872097442
Author(s):  
M A Dada ◽  
M Mellal ◽  
A Makhloufi ◽  
H Belhouchet
Keyword(s):  
Genetic Algorithm ◽  
Development Strategy ◽  
Oil And Gas ◽  
Water Saturation ◽  
Optimization Methods ◽  
Optimization Techniques ◽  
Production Optimization ◽  
Well Placement ◽  
Field Development ◽  
Maximum Duration

One of the major goals that field planning engineers and decision makers have to achieve in terms of reservoir management and hydrocarbon recovery optimization is the maximization of return on financial investments. This task yet very challenging due to high number of decision variables and some uncertainties, pushes the engineers and technical advisors to seek for robust optimization methods in order to optimally place wells in the most profitable locations with a focus on increasing the net-present value over a project life-cycle. The quest to deliver a good quality advice is also dependent on how some uncertainties – geologic, economic and flow patterns – have been handled and formulated all along the optimization process. With the enhancement of computer power and the advent of remarkable optimization techniques, the oil and gas industry has at hand a wide range of tools to get an overview on value maximization from petroleum assets. Amongst these tools, genetic algorithms which belong to stochastic optimization methods have become well known in the industry as one the best alternatives to apply when trying to solve well placement and production allocation problems, though computationally demanding. The aim of this work is to present a novel approach in the area of hydrocarbon production optimization where control settings and well placement are to be determined based on a single objective function, in addition to the optimization of wells’ trajectories. Starting from a reservoir dynamic model of a synthetic offshore oil field assisted by water injection, the work consisted in building a data-driven model that was generated using artificial neural networks. Then, we used Matlab’s genetic algorithm toolbox to perform all the needed optimizations; from which, we were able to establish a drilling schedule for the set of wells to be realized, and we made it possible to simultaneously get the well location and configuration (vertical or horizontal), well type (producer or injector), well length, well orientation – in the horizontal plane –, as well as well controls (flow rates) and near wellbore pressure with respect to a set of linear and nonlinear-constraints. These constraints were formulated so as to reproduce real field development considerations, and with the aid of a genetic algorithm procedure written upon Matlab, we were able to satisfy those constraints such as, maximum production and injection rates, optimal wellbore pressures, maximum allowable liquid processing capacity, optimal well locations, wells’ drilling and completion maximum duration, in addition to other considerations. We have investigated some scenarios with the intention of proving the benefits of development strategy that we have chosen to study. It was found the chosen scenario could improve NPV by 3 folds in comparison to a base case scenario. The positioning of the wells was successful as all producers were placed in zones having initial water saturation less than 0.4., and all injectors were placed high water saturation zones. Moreover, we established a procedure regarding well trajectory design and optimization by taking into account, minimum dogleg severity and maximum duration for a well to be drilled and completed with respect to a time threshold. The findings as well as the workflow that will be presented hereafter could be considered as a guideline for subsequent tasks pertaining to the process of decision making, especially when it has to do with the development of green oil and gas fields and will certainly help in the placement of wells in less risky and cost-effective locations.

Brenda Field Development: A Best Practice In Horizontal Well Placement Leading To Optimal Reservoir Drainage

2007 ◽  
Author(s):  
Ken E.T. Halward ◽  
Joe Emery ◽  
Rod Christensen ◽  
Daniel Joseph Bourgeois ◽  
Grant Skinner ◽  
...  
Keyword(s):  
Best Practice ◽  
Horizontal Well ◽  
Well Placement ◽  
Field Development

Production Optimization for Second Stage Field Development Using ICD and Advanced Well Placement Technology

2008 ◽  
Author(s):  
D. Maggs ◽  
A.G. Raffn ◽  
Francisco Porturas ◽  
J. Murison ◽  
F. Tay ◽  
...  
Keyword(s):  
Production Optimization ◽  
Well Placement ◽  
Field Development ◽  
Second Stage

Main directions of searching for hydrocarbons in Nadym-Pursk oil and gas region

2021 ◽  
pp. 23-31
Author(s):  
Y. I. Gladysheva
Keyword(s):  
Oil And Gas ◽  
Raw Materials ◽  
Accumulation Rate ◽  
Sedimentary Basins ◽  
Seismic Exploration ◽  
Research Approach ◽  
Field Development ◽  
The North ◽  
The Sixties ◽  
Hydrocarbon Deposits

Nadym-Pursk oil and gas region has been one of the main areas for the production of hydrocarbon raw materials since the sixties of the last century. A significant part of hydrocarbon deposits is at the final stage of field development. An increase in gas and oil production is possible subject to the discovery of new fields. The search for new hydrocarbon deposits must be carried out taking into account an integrated research approach, primarily the interpretation of seismic exploration, the creation of geological models of sedimentary basins, the study of geodynamic processes and thermobaric parameters. Statistical analysis of geological parameters of oil and gas bearing complexes revealed that the most promising direction of search are active zones — blocks with the maximum sedimentary section and accumulation rate. In these zones abnormal reservoir pressures and high reservoir temperatures are recorded. The Cretaceous oil and gas megacomplex is one of the main prospecting targets. New discovery of hydrocarbon deposits are associated with both additional exploration of old fields and the search for new prospects on the shelf of the north. An important area of geological exploration is the productive layer of the Lower-Berezovskaya subformation, in which gas deposits were discovered in unconventional reservoirs.

Assessment of the representation of non-resource export priorities in the conceptual documents of the NWFD region

2021 ◽  
pp. 743-760
Author(s):  
Pavel Leonidovich Glukhikh
Keyword(s):  
Development Strategy ◽  
Raw Materials ◽  
Institutional Support ◽  
Federal District ◽  
Scientific Concept ◽  
The North ◽  
Export Strategy ◽  
Russian Economy ◽  
Target Indicator ◽  
First Time

The problem of dependence of the Russian economy on raw materials remains. The growth of non-primary non-energy exports was approved as one of the priorities in Russia. Updating the national project increases the importance of its institutional support in legislation. The question arises of the sufficiency of institutional reflection of non-resource exports. The purpose of the article is to generalize approaches to the priorities of non-resource exports, to develop methodological tools and to assess the representation of the topic in conceptual documents on the example of the regions of the North-Western Federal District. The research methodology is based on the content analysis of documents using the Istio service. The basis of the study was the conceptual documents of the NWFD regions with export topics. The categories of non-primary exports are highlighted. The socio-economic Development Strategy is the main document approving the region’s non-resource exports. A research program and methodological support for assessing the representation of non-primary exports in documents have been developed. The differences in the institutional support of non-primary exports are revealed. Of the 11 regions, 8 contain a target indicator of non-primary non-energy exports. Kaliningrad and Murmansk oblasts are recommended to include it in the Strategy in order to form institutional support for overcoming the problem of commodity dependence. A classification of regional documents providing institutional support for the export strategy has been developed. For the first time, the assessment contains scientific novelty and can help to understand the need to form a scientific concept of non-resource exports.

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