Integrating multi-disciplinary data for building fit-for-purpose 3D mechanical earth model

2019 ◽  
Vol 59 (2) ◽  
pp. 856
Author(s):  
Peter G. Boothby ◽  
Ratih Puspitasari ◽  
Sanjay Thakur ◽  
Zachariah John Pallikathekathil ◽  
Chris Walton
Keyword(s):  
Success Factors ◽  
Development Stage ◽  
Seismic Inversion ◽  
Lessons Learned ◽  
Earth Model ◽  
Blind Test ◽  
Good Communication ◽  
Field Development ◽  
Rock Heterogeneity ◽  
Mechanical Earth Model

Understanding the influence of geomechanics early in the field development phase facilitates reservoir management planning. To capture complex geology and associated field development, a 3D mechanical earth model (3D MEM) with finite element method (FEM) approach was selected to analyse the geomechanical-related risks associated with two fields in the North West Shelf, Australia. The 3D MEMs were constructed using geological static models, and seismic-derived horizons and faults. The 3D properties were propagated based on core-calibrated 1D properties and controlled by stratigraphy, 3D facies and seismic inversion volumes. The FEM was used to calculate the equilibrium of stresses and strains within the 3D MEMs. The 3D properties and pre-production stresses were validated in blind test wells before forward modelling. The 3D MEMs were linked to the dynamic reservoir models to capture the pressure evolution throughout the field lifecycle. The results were used to analyse the risks associated with compaction, subsidence, fault instability, completion integrity and drilling stability of infill wells through depleted reservoirs. The results provided insight in managing the risk early in field development stage. The study’s largest challenge was integrating a large volume of data to ensure that the structural complexity and rock heterogeneity were captured and consistent with the geological understanding of the field. A multi-disciplinary team of earth scientists and reservoir and geomechanics engineers worked together, and the value of data integration, good communication and teamwork were key success factors. Lessons learned and best practices were captured throughout the study and provided valuable feedback for future works.

Successful Application of Managed Pressure Drilling and Cementing in Naturally Fractured Carbonates Environment of Prohorovskoe Exploration Well

2021 ◽  
Author(s):  
Dmitry Krivolapov ◽  
Taras Soroka ◽  
Artem Polyarush ◽  
Denis Lobastov ◽  
Viktor Balalaev ◽  
...  
Keyword(s):  
Health Hazard ◽  
Development Stage ◽  
Komi Republic ◽  
Lessons Learned ◽  
High Hydrogen ◽  
Well Control ◽  
Core Drilling ◽  
Field Development ◽  
Well Completion ◽  
Managed Pressure Drilling

Abstract This technical paper provides the result of utilizing MPD technology for drilling and cementing a 127 mm production liner withing the Zadonian horizon D3zd in an exploratory well of the Prohorovskoe field. The previous wells drilled with a conventional approach in the field had complicated issues such as circulation losses and well control. It was complexified with high hydrogen disulfide concentration in reservoir oil which was a health hazard to a site personnel. As a result, to eliminate all complications, resources and operational time were needed. To prevent and eliminate complications in a long wall, core drilling and well completion, managed pressure drilling (MPD) and cementing technology with semi-automatic control system was applied. The project is unique as such complicated jobs with the core drilling and cementing with MPD were executed for the first time in The Komi Republic. MPD approach allowed to figure out bottomhole safe conditions and maintain ECD within a required pressure window. It is necessary to notice that a part of the section was core drilled. Knowing the window between pore and fracture pressures safety limits, a run-in-the-hole design with further cementing job was optimized. The execution was done flawlessly without circulation losses and well control issues. In comparison to a previous well in the Prohorovskoe field, MPD allowed to shorten loss circulated mud volume from 2 2215 m3 to 0 m3 and avoid non-productive time. Through accomplished goals and lessons learned, new grounds to well owners and well services in a field development stage are broken.

Deep Reinforcement Learning for Generalizable Field Development Optimization

SPE Journal ◽  
2021 ◽  
pp. 1-20
Author(s):  
Jincong He ◽  
Meng Tang ◽  
Chaoshun Hu ◽  
Shusei Tanaka ◽  
Kainan Wang ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Computational Cost ◽  
Real Field ◽  
Earth Model ◽  
Strong Impact ◽  
Policy Network ◽  
Blind Test ◽  
Field Development ◽  
Wide Range ◽  
Development Plans

Summary The optimization of field development plans (FDPs), which includes optimizing well counts, well locations, and the drilling sequence is crucial in reservoir management because it has a strong impact on the economics of the project. Traditional optimization studies are scenario specific, and their solutions do not generalize to new scenarios (e.g., new earth model, new price assumption) that were not seen before. In this paper, we develop an artificial intelligence (AI) using deep reinforcement learning (DRL) to address the generalizable field development optimization problem, in which the AI could provide optimized FDPs in seconds for new scenarios within the range of applicability. In the proposed approach, the problem of field development optimization is formulated as a Markov decision process (MDP) in terms of states, actions, environment, and rewards. The policy function, which is a function that maps the current reservoir state to optimal action at the next step, is represented by a deep convolution neural network (CNN). This policy network is trained using DRL on simulation runs of a large number of different scenarios generated to cover a “range of applicability.” Once trained, the DRL AI can be applied to obtain optimized FDPs for new scenarios at a minimum computational cost. While the proposed methodology is general, in this paper, we applied it to develop a DRL AI that can provide optimized FDPs for greenfield primary depletion problems with vertical wells. This AI is trained on more than 3×106 scenarios with different geological structures, rock and fluid properties, operational constraints, and economic conditions, and thus has a wide range of applicability. After it is trained, the DRL AI yields optimized FDPs for new scenarios within seconds. The solutions from the DRL AI suggest that starting with no reservoir engineering knowledge, the DRL AI has developed the intelligence to place wells at “sweet spots,” maintain proper well spacing and well count, and drill early. In a blind test, it is demonstrated that the solution from the DRL AI outperforms that from the reference agent, which is an optimized pattern drilling strategy almost 100% of the time. The DRL AI is being applied to a real field and preliminary results are promising. Because the DRL AI optimizes a policy rather than a plan for one particular scenario, it can be applied to obtain optimized development plans for different scenarios at a very low computational cost. This is fundamentally different from traditional optimization methods, which not only require thousands of runs for one scenario but also lack the ability to generalize to new scenarios.

Knowledge management

2014 ◽  
Vol 14 (1) ◽  
pp. 108-134 ◽  
Author(s):  
Morteza Shokri-Ghasabeh ◽  
Nicholas Chileshe
Keyword(s):  
Knowledge Management ◽  
Success Factors ◽  
Research Study ◽  
South Australia ◽  
Lessons Learned ◽  
Extensive Literature ◽  
Management Support ◽  
Content Type ◽  
Critical Success ◽  
Methodological Triangulation

Purpose – A research study has been undertaken at the University of South Australia to introduce application of lessons learned process in construction contractors ' bidding process in the context of knowledge management. The study aims to identify barriers to effectively capture lessons learned in Australian construction industry and how knowledge management can benefit from lessons learned application. Design/methodology/approach – The research study has been undertaken through conducting a “methodological triangulation” and “interdisciplinary triangulation”. This involved an extensive literature review of knowledge management, organisation learning, lessons learned and associated processes and administration of a questionnaire to a sample of construction contractors operating in Australia to elicit opinions on the main barriers to capturing lessons learned, practices such as existence and retention of documentation procedures. A total of 81 useable responses were received from 450 organisations. Response data were subjected to descriptive and inferential statistics with correlation analysis to examine the strength of relationship among the barriers. Findings – The top-3 barriers to the effective capturing of lessons learned were “lack of employee time”, “lack of resources” and “lack of clear guidelines”, whereas, “lack of management support” was the least ranked barrier. The study established that despite the majority of the ACCs having formal procedures for recording the tenders submitted and their outcomes, only a minority actually retained the lessons learned documentation for each project. The larger contractors were found to be more aware of the importance of lessons learned documentation. A comparative analysis with previous studies also found a disparity in the ranking of the barriers. Research limitations/implications – The majority of the participants were small construction contractors in Australia. The reason is that the researchers were not aware of the contractors ' size prior to inviting them for participation in the research study. Second the findings may not generalize to other industries or to organisations operating in other countries. Originality/value – The findings of this survey help ACCs to understand the importance of lessons learned documentation as part of lessons learned implementation and identify the barriers to effectively document their lessons learned. The study provides insights on the barriers and proposes advocated solutions in form of drivers and enablers (critical success factors) of organisational learning capturing among the Australian construction contractors. By reviewing the current literature, “post-project reviews” and “lessons learned” as important elements of organisation learning knowledge transfer, are addressed. Finally, contribution of this study to knowledge and practice has been discussed in this paper.

Seismic pore pressure prediction with uncertainty using a probabilistic mechanical earth model

2003 ◽  
Author(s):  
P. M. Doyen ◽  
A. Malinverno ◽  
R. Prioul ◽  
P. Hooyman ◽  
S. Noeth ◽  
...  
Keyword(s):  
Pore Pressure ◽  
Earth Model ◽  
Pore Pressure Prediction ◽  
Mechanical Earth Model

Optimization Applied to Buzios Flexible Riser Systems and Subsea Layout

2021 ◽  
Author(s):  
Vinicius Gasparetto ◽  
Thierry Hernalsteens ◽  
Joao Francisco Fleck Heck Britto ◽  
Joab Flavio Araujo Leao ◽  
Thiago Duarte Fonseca Dos Santos ◽  
...  
Keyword(s):  
Deep Water ◽  
Technology Use ◽  
Capital Expenditure ◽  
Lessons Learned ◽  
Internal Diameter ◽  
Flexible Riser ◽  
Flexible Pipe ◽  
Injection Wells ◽  
Gas Field ◽  
Field Development

Abstract Buzios is a super-giant ultra-deep-water pre-salt oil and gas field located in the Santos Basin off Brazil's Southeastern coast. There are four production systems already installed in the field. Designed to use flexible pipes to tie back the production and injection wells to the FPSOs (Floating Production Storage and Offloading), these systems have taken advantage from several lessons learned in the previous projects installed by Petrobras in Santos Basin pre-salt areas since 2010. This knowledge, combined with advances in flexible pipe technology, use of long-term contracts and early engagement with suppliers, made it possible to optimize the field development, minimizing the risks and reducing the capital expenditure (CAPEX) initially planned. This paper presents the first four Buzios subsea system developments, highlighting some of the technological achievements applied in the field, as the first wide application of 8" Internal Diameter (ID) flexible production pipes for ultra-deep water, leading to faster ramp-ups and higher production flowrates. It describes how the supply chain strategy provided flexibility to cover the remaining project uncertainties, and reports the optimizations carried out in flexible riser systems and subsea layouts. The flexible risers, usually installed in lazy wave configurations at such water depths, were optimized reducing the total buoyancy necessary. For water injection and service lines, the buoyancy modules were completely removed, and thus the lines were installed in a free-hanging configuration. Riser configuration optimizations promoted a drop of around 25% on total riser CAPEX and allowed the riser anchor position to be placed closer to the floating production unit, promoting opportunities for reducing the subsea tieback lengths. Standardization of pipe specifications and the riser configurations allowed the projects to exchange the lines, increasing flexibility and avoiding riser interference in a scenario with multiple suppliers. Furthermore, Buzios was the first ultra-deep-water project to install a flexible line, riser, and flowline, with fully Controlled Annulus Solution (CAS). This system, developed by TechnipFMC, allows pipe integrity management from the topside, which reduces subsea inspections. As an outcome of the technological improvements and the optimizations applied to the Buzios subsea system, a vast reduction in subsea CAPEX it was achieved, with a swift production ramp-up.

Case History: Coring in ERD Well with Collision Risk Challenge and Optimization of Coring Parameters Based on Previous Coring Jobs in Carbonate Formation Alleviated Core Recovery

2021 ◽  
Author(s):  
Rahul Kamble ◽  
Youssef Ali Kassem ◽  
Kshudiram Indulkar ◽  
Kieran Price ◽  
Majid Mohammed A. ◽  
...  
Keyword(s):  
United Arab Emirates ◽  
Lessons Learned ◽  
Low Flow ◽  
High Angle ◽  
Collision Risk ◽  
Pilot Hole ◽  
Field Development ◽  
Core Recovery ◽  
Carbonate Formation ◽  
Carbonate Formations

Abstract Coring during the development phase of an oil and gas field is very costly; however, the subsurface insights are indispensable for a Field Development Team to study reservoir characterization and well placement strategy in Carbonate formations (Dolomite and limestone with Anhydrite layers). The objective of this case study is to capture the successful coring operation in high angle ERD wells, drilled from the fixed well location on a well pad of an artificial island located offshore in the United Arab Emirates. The well was planned and drilled at the midpoint of the development drilling campaign, which presented a major challenge of wellbore collision risk whilst coring in an already congested area. The final agreed pilot hole profile was designed to pass through two adjacent oil producer wells separated by a geological barrier, however, the actual separation ratio was < 1.6 (acceptable SF to drill the well safely), which could have compromised the planned core interval against the Field Development Team's requirement. To mitigate the collision risks with offset wells during the coring operation, a low flow rate MWD tool was incorporated in the coring BHA to monitor the well path while cutting the core. After taking surveys, IFR and MSA corrections were applied to MWD surveys, which demonstrated an acceptable increase in well separation factor as per company Anti-Collision Risk Policy to continue coring operations without shutting down adjacent wells. A total of 3 runs incorporating the MWD tool in the coring BHA were performed out of a total of 16 runs. The maximum inclination through the coring interval was 73° with medium well departure criteria. The main objective of the pilot hole was data gathering, which included a full suite of open hole logging, seismic and core cut across the target reservoir. A total of 1295 ft of core was recovered in a high angle well across the carbonate formation's different layers, with an average of 99% recovery in each run. These carbonate formations contain between 2-4% H2S and exhibit some fractured layers of rock. To limit and validate the high cost of coring operations in addition to core quality in the development phase, it was necessary to avoid early core jamming in the dolomite, limestone and anhydrite layers, based on previous coring runs in the field. Core jamming leads to early termination of the coring run and results in the loss of a valuable source of information from the cut core column in the barrel. Furthermore, it would have a major impact on coring KPIs, consequently compromising coring and well objectives. Premature core jamming and less-than-planned core recovery from previous cored wells challenged and a motivated the team to review complete field data and lessons learned from cored offset wells. Several coring systems were evaluated and finally, one coring system was accepted based on core quality as being the primary KPI. These lessons learned were used for optimizing certain coring tools technical improvements and procedures, such as core barrel, core head, core handling and surface core processing in addition to the design of drilling fluids and well path. The selection of a 4" core barrel and the improved core head design with optimized blade profile and hold on sharp polished cutters with optimized hydraulic efficiency, in addition to the close monitoring of coring parameters, played a significant role in improving core cutting in fractured carbonate formation layers. This optimization helped the team to successfully complete the 1st high angle coring operation offshore in the United Arab Emirates. This case study shares the value of offset wells data for coring jobs to reduce the risk of core jamming, optimize core recovery and reduce wellbore collision risks. It also details BHA design decisions(4"core barrel, core head, low flow rate MWD tool and appropriate coring parameters), all of which led to a new record of cutting 1295 ft core in a carbonate formation with almost 100% recovery on surface.

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