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Collaborating Authors
Theys, Philippe
My affair with well depth started almost a half-century ago. In the early 1970s, wireline logging tools were not combined (e.g., separate logs were run with neutron, density and resistivity tools). As a logging engineer I was, in the jargon used in these distant years, cranking, that is manually adjusting the depth, of subsequent runs so that curves peaks and troughs would correlate. It was a challenge in laminated formations, as it was easy to mistake one bed with the previous one or the next one. The interpreter, most often performing interpretation with a pencil and a slide rule on paper or fi lm records, would handle possible mismatches with art. When digitally recorded data entered in the mid-seventies, 6-in. sampled data were much more difficult to correlate exactly. Logging companies developed many programs to achieve perfect correlations between concertina-like curves. The fact that few people remember the names of these programs confirms that they were not successful. At that time, aligning logging curves was the primary concern. Logger's total depth needed to be close to driller's total depth, as should logger's casing shoe depth and driller's casing shoe depth, but this could be easily arranged.
Abstract For many years the aerospace and automotive industries have realized significant improvements in efficiency, performance and cost savings by simulating multiple prototype vehicle designs and control systems under various operating conditions. These same simulation techniques have now been introduced to the oilfield drilling industry and are delivering insights for more effective drilling tool designs, bottom hole assembly optimization, drilling severity minimization, dysfunction recognition and for drilling performance improvement with fewer downhole failures. Drilling is a non-linear, coupled and dynamic hydro-geomechanical process, the physics for all aspects of which must be captured to enable a robust automated drilling control process. Drill string, drilling tool and drill bit failures are frequently incorrectly blamed upon the invisible geology through which they drill. Field engineers frequently report more severe downhole vibrations at rotation speeds other than those predicted by linear frequency-based finite element critical speeds analyses. The same multi-body dynamics simulation techniques used by the automotive and aerospace industries, however, are now being applied to capture the non-linear aspects of the drilling process and provide more realistic predictions of drilling performance. Simulation validation is achieved by comparing virtual data to physical data with an implicit understanding of the uncertainties of each. Recommendations are presented for improving the usefulness and the quality of physical drilling data which simulation can then also help assure. The ultimate objective is to deliver better quality boreholes which are less costly with fewer drilling tool failures. These novel simulation techniques are enabling manufacturers to benefit from lower development costs and shorter times to market with more reliable proprietary drilling tool designs. Drilling contractors are using simulations to optimize top-drive controls and drill more effectively. Product developers are able to configure higher performing and more optimal bottom hole assemblies. Operators are able to reduce overall drilling costs with the potential benefits of higher performing drilling automation systems and greater production from better quality boreholes.
- Well Drilling > Drillstring Design > Torque and drag analysis (1.00)
- Well Drilling > Drilling Operations (1.00)
- Well Drilling > Drill Bits (1.00)
- (2 more...)
- Information Technology > Data Science > Data Mining > Big Data (0.50)
- Information Technology > Data Science > Data Quality (0.47)
New Options for Wireline Logging Depth Data Quality Improvement
Bolt, Harald (ICT Europe) | Loermans, Ton (_) | Theys, Philippe (_)
Abstract Depth is the most fundamental logging parameter, tying together the vast array of logging measurements made. Depth forms the basis of essentially all aspects of our downhole industry. Wireline depth data is derived using wellestablished procedures. The prime input for this measurement is either (1) calibrated measurehead wheels or (2) magnetic marked cable lengths. Corrections, typically for elastic stretch, are then applied. The models behind the various methods used are well entrenched, but in many logging situations, such as varying tension or deviation along a well path, the assumptions behind those models are compromised. Under ideal conditions, a wireline depth accuracy of 5:, 2:, or even 1:10,000 may be achieved. But in many typical current day well situations the imprecision experienced may easily be well beyond 10 times larger. These errors can be highly variable in both magnitude and sign along the logged interval. Often the consequences of such errors are only seen long after drilling and evaluating the well. This paper suggests a number of improvement options over current methodologies, designed to lead to reduced depth data uncertainty. We review the application of calibration and verification to depth measurement and then suggest methodologies for commonly applicable corrections. We then also review the impact that these have on the uncertainty determination. Presently there is a lack of specific assignment of uncertainty to the depth measurement provided. By focusing on calibration and verification of depth associated measurements and more rigorous application of basic correction methodologies, quantification of the uncertainty in wireline depth measurements can be significantly improved.
- Overview (0.48)
- Research Report (0.34)
Current Status of Well Logging Data Deliverables and a Vision Forward
Theys, Philippe (_) | Roque, Thuy (Anadarko) | Constable, Monica Vik (Statoil) | Williams, John (BP) | Storey, Martin (WellDataQA)
Abstract Twenty years ago, at the end of 1993, the SPWLA Data Quality Topical Conference in London concluded on three priorities for well logging data deliverables:Establish standards. Establish standards. Establish standards. Since then, these priorities have become all the more critical, for reasons that include the deployment of numerous modern measurements, the "data explosion," the multiplicity of vintages, and the creation of new logging companies. In reality, the industry has walked resolutely in the opposite direction since then, away from standards. Well logging data today is delivered in many different forms and with varying content. While most logging companies claim that they adhere to recommended practices RP 31 (header format) and RP 66 (digital format), a quick perusal at data sets reveals that the current delivery is a real lottery for the final data user: many sets are incomplete for exploitation, while some sets are huge and difficult to understand and manage. This paper gives numerous examples of the current situation and suggests a standard delivery that applies to all form of well logging data, regardless of conveyance, of well location in the world and of well condition. It particularly addresses Logging While Drilling (LWD) data that has often been, and continues to be, delivered incompletely, inconsistently, and in the most reduced and untraceable ways. In addition, the paper evaluates the potential impact of the standardization of well logging data deliverables. Standards do not mean commoditization and do not suppress innovation and competitiveness. However they definitely improve usability of data and facilitate a much-needed quality control. They are a prerequisite to an efficient and valid log interpretation.
- Europe (0.69)
- North America > United States > Texas (0.28)
- Europe > Norway > Norwegian Sea > Halten Terrace > PL 199 > Block 6506/11 > Kristin Field > Tofte Formation (0.99)
- Europe > Norway > Norwegian Sea > Halten Terrace > PL 199 > Block 6506/11 > Kristin Field > Ile Formation (0.99)
- Europe > Norway > Norwegian Sea > Halten Terrace > PL 199 > Block 6506/11 > Kristin Field > Garn Formation (0.99)
- (12 more...)
The Schlumberger brothers were the first (and thus far, only) persons to receive the SPWLA Pioneer Award. It was presented to them posthumously during the SPWLA Annual Symposium in Paris in 1995. Marcel Schlumberger has also recently been honored by École Centrale Paris. This school, also known by its original name École Centrale des Arts et Manufactures, was founded in 1829. It is one of the oldest and most prestigious engineering schools in France. Since 2007, École Centrale has selected one of its best students to decorate the yearly alumnus card, successively: Gustave Eiffel, of Tower fame, Étienne OEhmichen, the inventor of the helicopter, Louis Blériot, who crossed the Channel by air for the first time in 1909, and now Marcel Schlumberger. École Centrale gave SPWLA permission to use the text and the pictures from an article recently published in their internal magazine Centraliens. This allows our members an opportunity to know more about the history and traits of this exceptional man. Where does the Schlumberger name come from? Unlike many entrepreneurs who started from humble beginnings, blue blood flowed in Conrad and Marcel Schlumberger's veins. On their paternal side, they belonged to a dynasty of protestant businessmen who thrived around Mulhouse, in Alsace. Nicolas, the grandfather, a textile businessman, was the president of the local parliament of Strasbourg, and was ennobled von Schlumberger by the Kaiser. On the maternal side, their great-grandfather was Henri Guizot, a minister of Louis-Philippe, the last king of France. Henri was the founder of the primary school system in France. He also launched the idea of protecting the French historical monuments, a first for Europe. The Schlumberger brothers Conrad and Marcel had three brothers: Jean, co-founder with André Gide (1947 Literature Nobel prize) of Nouvelle Revue Française, a major French publisher; Maurice, founder of the eponymous bank; and Daniel, who died on the World War I battlefields. Their sister Pauline completed the group of siblings. Conrad began at École Polytechnique in 1898 and ranked second. He then took a complementary degree at École des Mines de Paris. In 1907, he became Professor at the young age of twenty-nine. During the summer of 1912, in the Guizot family property of Val-Richer in Normandy, he spread miles of copper wires over the lawn, connected them to an electricity generator, and established a map of the underground scaled by levels of resistivity. In August 1914, as World War I began, he joined the French artillery. When the war was over, he became a hardcore pacifist and contemplated embarking on a speaking tour to spread his ideas. The first steps of Marcel Younger than Conrad by six years, Marcel was more of an extrovert. His niece, Anne Doll, described him as tall and good-looking. He loved mechanics and liked to visit his father's plant to experiment with spinning machines. At ten, he won a prize given by the magazine Mon Journal for the design of a churning machine. At fourteen, he fixed his father's car.
- North America > United States (1.00)
- Europe > France > Grand Est > Bas-Rhin > Strasbourg (0.24)