Exploration Drilling Performance Optimization in Red Sea Shallow Water: Shifting West with Offshore Exploration Drilling Best Practices

2014 ◽  
Author(s):  
Saleh Khalifa ◽  
Suliman Azzouni ◽  
Shrikant Tiwari ◽  
Opeyemi Adewuya
Keyword(s):  
Best Practices ◽  
Shallow Water ◽  
Red Sea ◽  
Performance Optimization ◽  
Drilling Performance ◽  
Exploration Drilling

Creative and Collaborative Engineering Delivers the Fastest Well in an Upper Miocene Reservoir, Shallow Water Field in The Gulf of Mexico

2021 ◽  
Author(s):  
Guillermo Caballero ◽  
Rajeswary Kandasamy ◽  
Omar E Vilchez ◽  
Luis Larrea ◽  
Francisco Santarini ◽  
...  
Keyword(s):  
Shallow Water ◽  
Service Providers ◽  
Planning Stage ◽  
Deep Dive ◽  
Upper Miocene ◽  
Drilling Performance ◽  
Water Field ◽  
Operational Practices ◽  
Drilling Conditions ◽  
Performance Results

Abstract This paper will detail the engineering strategies utilized from design and planning stage up to and beyond the field execution stage which resulted in drilling the fastest well in a shallow water field, delivering superior drilling performance and successfully targeting the Upper Miocene (tertiary) reservoir in Mexico. From the 9 wells drilled in this field, the fastest well "Y"-200 was drilled with an average well construction index of 179 m/day when compared to the field average of 54.2 m/day. This shallow water field manifests several specific challenges which include tough drilling conditions, fluid property and hydraulic management, logging constraints and critical selection of casing setting depths. In order to enhance the drilling performance results to lower costs and improve production timelines, the project team performed a deep-dive into the well challenges and engaged with multi disciplinary teams and service providers to brainstorm different design improvements and operational practices. By doing so, the performance accelerates the 6000 to 9000 bbls of initial production estimated per well. The application of these creative engineering ideas proves that change, when applied correctly can really create lasting and proven improvements in drilling performance.

scholarly journals Analyzing the Performance of the S3 Object Storage API for HPC Workloads

2021 ◽  
Vol 11 (18) ◽  
pp. 8540
Author(s):  
Frank Gadban ◽  
Julian Kunkel
Keyword(s):  
Best Practices ◽  
Performance Optimization ◽  
Cloud Storage ◽  
High Performance ◽  
File Systems ◽  
Performance Loss ◽  
Object Storage ◽  
Storage Service ◽  
Main Driver ◽  
Access Patterns

The line between HPC and Cloud is getting blurry: Performance is still the main driver in HPC, while cloud storage systems are assumed to offer low latency, high throughput, high availability, and scalability. The Simple Storage Service S3 has emerged as the de facto storage API for object storage in the Cloud. This paper seeks to check if the S3 API is already a viable alternative for HPC access patterns in terms of performance or if further performance advancements are necessary. For this purpose: (a) We extend two common HPC I/O benchmarks—the IO500 and MD-Workbench—to quantify the performance of the S3 API. We perform the analysis on the Mistral supercomputer by launching the enhanced benchmarks against different S3 implementations: on-premises (Swift, MinIO) and in the Cloud (Google, IBM…). We find that these implementations do not yet meet the demanding performance and scalability expectations of HPC workloads. (b) We aim to identify the cause for the performance loss by systematically replacing parts of a popular S3 client library with lightweight replacements of lower stack components. The created S3Embedded library is highly scalable and leverages the shared cluster file systems of HPC infrastructure to accommodate arbitrary S3 client applications. Another introduced library, S3remote, uses TCP/IP for communication instead of HTTP; it provides a single local S3 gateway on each node. By broadening the scope of the IO500, this research enables the community to track the performance growth of S3 and encourage sharing best practices for performance optimization. The analysis also proves that there can be a performance convergence—at the storage level—between Cloud and HPC over time by using a high-performance S3 library like S3Embedded.

Optimising Well Times Through Drilling Connection Practices

2021 ◽  
Author(s):  
Faisal Mohd Mazlan ◽  
Ahmad Zhafran Ahmad Redzuan ◽  
Mohd Idzwan Amiruddin ◽  
Ahmad Faizal Ramli ◽  
Pete Slagel ◽  
...  
Keyword(s):  
Best Practices ◽  
Significant Risk ◽  
Data Driven ◽  
Drilling Performance ◽  
Change In Practice ◽  
Data Driven Approach ◽  
Drilling Operations ◽  
Historical Databases ◽  
Additional Costs ◽  
Time Savings

Abstract From an operator's perspective, many operational instructions are written implicitly that are not sufficiently detailed to optimize drilling efficiency. Upon a review of several partner operators’ drilling performance, it was noticed that there was a significant focus on the following aspects of technical limit drilling: ROP, tripping speeds, offline activities and connection times. One operator specifically reviewed Gulf-of-Thailand best practices and implemented them in Malaysia. One of the significant areas of improvement includes drilling connections. In the previous version, PETRONAS Malaysia Drilling Operations follows a conservative ERD connection method requiring to ream a single/stand, take a good survey a minimum 10m off bottom prior to making a connection and applied to all wells regardless of inclination or complexity. This was in response to risk of stuck pipe incidents happening during these critical static periods. A comparison of the connection times after their change in practice compared to PCSB practices given the same tools and well complexity indicated massive potential time savings with no additional costs. A change in the drilling connection practices could easily save almost half of this particular "flat time" with no significant risk, amounting to a possible saving of almost 26 hours in a well of around 3000m MDDF. This also led to a better understanding of the impacts of certain "rule-of-thumb" practices that needed to be questioned from time to time. This comparison coupled with many existing literatures available allowed a data-driven approach to improving well times. Some of this information is easily glossed over considering the only time-based data most wells refer to would be the Daily Drilling Report. This paper also emphasizes the importance of data collection and usage of historical databases to search for more opportunities in terms of safety, cost and time.

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