Welcome!

News Feed Item

Rowan Provides Fleet Contract Status Update

HOUSTON, March 20, 2014 /PRNewswire/ -- Rowan Companies plc ("Rowan" or the "Company") (NYSE: RDC) announced today that its monthly report of drilling rig status and contract information has been updated as of March 20, 2014.  The report titled "Monthly Fleet Status Report" can be found on the Company's website at www.rowancompanies.com.

Rowan Companies plc

Notable events in the current report include:

  • J.P. Bussell:  Awarded an estimated 209 day contract with Petrofac in Malaysia at $143,000 per day, above prior day rate at $140,000, which commenced at the beginning of March 2014. 
  • Gorilla VI:  Increased off rate time by 61 days during 2Q 2014 for additional repairs and testing that have been identified as the project nears completion.  Rig is currently expected to return to service the end of June 2014.
  • Gorilla V:  Increased off rate time by 12 days to 42 days during the end of 1Q and early 2Q 2014 for repairs and inspections.  As previously scheduled, the rig is also expected to be off rate for seven days during 2Q 2014 for planned maintenance. 
  • Hank Boswell:  Previously scheduled 28 days off rate time for inspections has been deferred to 1Q 2015 from 2Q 2014.
  • Rowan Stavanger:  Extended contract term one month to September 2014 with Talisman in the U.K. sector of the North Sea and deferred previously scheduled 30 days out of service time to 4Q 2014 from 3Q 2014.

For the first quarter and full-year of 2014, the Company expects jack-up out of service time to be approximately 13% and 7-9%, respectively.  The Company does not currently expect any out of service days in 2014 for the drillships, and following a break in period is expecting operational downtime to be approximately 5%.

Out-of-service days include days for which no revenues are recognized other than operational downtime and cold-stacked days.  The Company may be compensated for certain out-of-service days, such as for shipyard stays or for transit periods preceding a contract.  However, recognition of any such compensation received is deferred and recognized over the period of drilling operations.  Operational downtime is when a rig is under contract and unable to conduct planned operations due to equipment breakdowns or procedural failures.  No operational downtime is included in projected out-of-service days, but the company estimates operational downtime to account for approximately 2.5% of in-service days in current and future quarters. 

This summary is provided as a courtesy and is not intended to replace a detailed review of the Monthly Fleet Status Report.  While the Company has attempted to include items it believes are significant, we encourage you to review the Monthly Fleet Status Report in detail.

Rowan Companies plc is a global provider of international and domestic contract drilling services in the ultra-deepwater and shallow water jack-up market with a fleet of 34 offshore drilling units, including four ultra-deepwater drillships, three of which are currently under construction, and 30 jack-up rigs, 19 of which are rated high-specification.  The Company's fleet is located worldwide, including West Africa, the Middle East, the North Sea, Trinidad, Egypt, Southeast Asia and the Gulf of Mexico.  Three of the four ultra-deepwater drillships are under three year contracts.  The Company's Class A Ordinary Shares are traded on the New York Stock Exchange under the symbol "RDC."  For more information on the Company, please visit www.rowancompanies.com.   

Statements herein that are not historical facts are forward looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, including, without limitation, statements as to the expectations, beliefs and future expected business, financial performance and prospects of the Company.  These forward-looking statements are based on our current expectations and are subject to certain risks, assumptions, trends and uncertainties that could cause actual results to differ materially from those indicated by the forward-looking statements.  Among the factors that could cause actual results to differ materially include oil and natural gas prices, the level of offshore expenditures by energy companies, variations in energy demand, changes in day rates, cancellation by our customers of drilling contracts, letter agreements or letters of intent or the exercise of early termination provisions, risks associated with fixed cost drilling operations, cost overruns or delays on shipyard repair, construction or transportation of drilling units, maintenance and repair costs, costs or delays for conversion or upgrade projects, operating hazards and equipment failure, risks of collision and damage, casualty losses and limitations on insurance coverage, customer credit and risk of customer bankruptcy, conditions in the general economy and energy industry, weather conditions and severe weather in the Company's operating areas, increasing complexity and costs of compliance with environmental and other laws and regulations, changes in tax laws and interpretations by taxing authorities, civil unrest and instability, terrorism and hostilities in our areas of operations that may result in loss or seizure of assets, the outcome of disputes and legal proceedings, effects of the change in our corporate structure, and other risks disclosed in the Company's filings with the U.S. Securities and Exchange Commission.  Each forward-looking statement speaks only as of the date hereof, and the Company expressly disclaims any obligation to update or revise any forward-looking statements, except as required by law.

Logo - http://photos.prnewswire.com/prnh/20120827/DA62568LOGO

SOURCE Rowan Companies plc

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
Today, we have more data to manage than ever. We also have better algorithms that help us access our data faster. Cloud is the driving force behind many of the data warehouse advancements we have enjoyed in recent years. But what are the best practices for storing data in the cloud for machine learning and data science applications?
All zSystem customers have a significant new business opportunity to extend their reach to new customers and markets with new applications and services, and to improve the experience of existing customers. This can be achieved by exposing existing z assets (which have been developed over time) as APIs for accessing Systems of Record, while leveraging mobile and cloud capabilities with new Systems of Engagement applications. In this session, we will explore business drivers with new Node.js apps ...
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously not possible for high-throughput insurance, banking, and case-based applications. In his session at 18th Cloud Expo, John Newton, CTO, Founder and Chairman of Alfresco, described how to scale cloud-based content management repositories to store, manage, and retrieve billions of documents and related information with fast and linear scalability. He addres...
The technologies behind big data and cloud computing are converging quickly, offering businesses new capabilities for fast, easy, wide-ranging access to data. However, to capitalize on the cost-efficiencies and time-to-value opportunities of analytics in the cloud, big data and cloud technologies must be integrated and managed properly. Pythian's Director of Big Data and Data Science, Danil Zburivsky will explore: The main technology components and best practices being deployed to take advantage...
For years the world's most security-focused and distributed organizations - banks, military/defense agencies, global enterprises - have sought to adopt cloud technologies that can reduce costs, future-proof against data growth, and improve user productivity. The challenges of cloud transformation for these kinds of secure organizations have centered around data security, migration from legacy systems, and performance. In our presentation, we will discuss the notion that cloud computing, properl...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the ste...
Digital Transformation is well underway with many applications already on the cloud utilizing agile and devops methodologies. Unfortunately, application security has been an afterthought and data breaches have become a daily occurrence. Security is not one individual or one's team responsibility. Raphael Reich will introduce you to DevSecOps concepts and outline how to seamlessly interweave security principles across your software development lifecycle and application lifecycle management. With ...
The vast majority of businesses now use cloud services, yet many still struggle with realizing the full potential of their IT investments. In particular, small and medium-sized businesses (SMBs) lack the internal IT staff and expertise to fully move to and manage workloads in public cloud environments. Speaker Todd Schwartz will help session attendees better navigate the complex cloud market and maximize their technical investments. The SkyKick co-founder and co-CEO will share the biggest challe...
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.