Offshore-Field Development Plan Changed From Steel Structures to Artificial Islands

2011 ◽  
Vol 63 (10) ◽  
pp. 65-68
Author(s):  
Dennis Denney
2011 ◽  
Author(s):  
Cyrus Abdulla Modavi ◽  
Abdul Hakeem Al Muflehi ◽  
Ihaab Taemoom ◽  
Bakheet S. Al-Khateeri ◽  
Adil M.A. Noman

2020 ◽  
Author(s):  
Hiren Kasekar ◽  
Usama Ghauri ◽  
Michael Nevin ◽  
Raphaele Mel ◽  
Mattheus Uijttenhout ◽  
...  

2013 ◽  
Author(s):  
Muhammad Usman ◽  
Hamidreza Karamimirazizi ◽  
Reza Ettehadi Osgouei ◽  
Rosmer Brito ◽  
Ali Karimi Vajargah

2019 ◽  
Author(s):  
Wenyang Zhao ◽  
Ahmed Khaleefa Al-Neaimi ◽  
Arlen Sarsekov ◽  
Omar Yousef Saif ◽  
Abdalla Abdel Fatah Abed ◽  
...  

2016 ◽  
Vol 18 (1) ◽  
pp. 39-53
Author(s):  
Omar Salih ◽  
Mahmoud Tantawy ◽  
Sayed Elayouty ◽  
Atef Abd Hady

2014 ◽  
Author(s):  
Upendra Malla ◽  
Krishna M. Karri

Floating Production Storage and Offloading (FPSO) sizing and cost estimation has become a challenging task at the early stages of offshore field development. During the early stages of field development designer needs to size and estimate cost in order to decide feasibility of the project. This paper describes a step by step method used to size and estimate the cost of a new built (or) converted FPSO based on basic engineering, existing FPSO data and corresponding metocean criteria for a particular location. This step by step approach covers FPSO sizing, hull structural design, mooring sizing, topsides support design and steel renewal using offshore classification rules and regulations. FPSO cost is estimated based on the design particulars (i.e. hull weights, FPSO particulars, mooring sizes etc.) and current market unit rates. This approach is an effective means to size and estimate cost of an FPSO at early stages of field development which saves overall time and cost for a client.


2019 ◽  
pp. 207-212
Author(s):  
Shashi Shekhar Prasad Singh ◽  
Jatin R. Agarwal ◽  
Nag Mani

2021 ◽  
Author(s):  
Hung Vo Thanh ◽  
Kang-Kun Lee

Abstract Basement formation is known as the unique reservoir in the world. The fractured basement reservoir was contributed a large amount of oil and gas for Vietnam petroleum industry. However, the geological modelling and optimization of oil production is still a challenge for fractured basement reservoirs. Thus, this study aims to introduce the efficient workflow construction reservoir models for proposing the field development plan in a fractured crystalline reservoir. First, the Halo method was adapted for building the petrophysical model. Then, Drill stem history matching is conducted for adjusting the simulation results and pressure measurement. Next, the history-matched models are used to conduct the simulation scenarios to predict future reservoir performance. The possible potential design has four producers and three injectors in the fracture reservoir system. The field prediction results indicate that this scenario increases approximately 8 % oil recovery factor compared to the natural depletion production. This finding suggests that a suitable field development plan is necessary to improve sweep efficiency in the fractured oil formation. The critical contribution of this research is the proposed modelling and simulation with less data for the field development plan in fractured crystalline reservoir. This research's modelling and simulation findings provide a new solution for optimizing oil production that can be applied in Vietnam and other reservoirs in the world.


2021 ◽  
Vol 10 ◽  
pp. 17-32
Author(s):  
Guido Fava ◽  
Việt Anh Đinh

The most advanced technique to evaluate different solutions proposed for a field development plan consists of building a numerical model to simulate the production performance of each alternative. Fields covering hundreds of square kilometres frequently require a large number of wells. There are studies and software concerning optimal planning of vertical wells for the development of a field. However, only few studies cover planning of a large number of horizontal wells seeking full population on a regular pattern. One of the criteria for horizontal well planning is selecting the well positions that have the best reservoir properties and certain standoffs from oil/water contact. The wells are then ranked according to their performances. Other criteria include the geometry and spacing of the wells. Placing hundreds of well individually according to these criteria is highly time consuming and can become impossible under time restraints. A method for planning a large number of horizontal wells in a regular pattern in a simulation model significantly reduces the time required for a reservoir production forecast using simulation software. The proposed method is implemented by a computer script and takes into account not only the aforementioned criteria, but also new well requirements concerning existing wells, development area boundaries, and reservoir geological structure features. Some of the conclusions drawn from a study on this method are (1) the new method saves a significant amount of working hours and avoids human errors, especially when many development scenarios need to be considered; (2) a large reservoir with hundreds of wells may have infinite possible solutions, and this approach has the aim of giving the most significant one; and (3) a horizontal well planning module would be a useful tool for commercial simulation software to ease engineers' tasks.


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