The presentation is divided into two parts. In the first one, the speaker will present a general view on modern approaches of big data processing (using machine learning methods) in application for oil and gas industry. Some myths related to BIG DATA approaches, barriers of their implementation within the industry will be presented as well as the idea why in some industries data science instruments are fruitful while in others are not. The second part will be devoted to application of spectral methods and deep learning algorithms for thin sections analysis of sandstones. It will be demonstrated how these methods allow us to reduce significantly time wasting for routing processes as well as to enhance the data value .

Author:

 

Semeon BUDENNYY, Head of Department of Digital Technologies in the Industry at the Center for Engineering and Technology of MIPT (CET MIPT), PhD student at MIPT. In 2014 he obtained the Master’s degree in Physics at NSU, in 2011 – Bachelor’s degree in Physics at NSU, in 2007 he graduated from Specialized Educational Scientific Center of NSU. He has been working at CET-MIPT from 2014, being an SPE member from 2014.

 

Tuesday, 03 April 2018 19:00

Measuring Land Drilling Performance

Drilling groups and executives generally have a different view of measuring drilling performance. To executives, “Drilling” commonly refers to all aspects of well construction, including drilling, completions, hook-up, procurement, the asset team, and other groups. Good measures of performance can drive improvements between these groups. The first key to success is how to communicate drilling performance in terms that answer the questions of executives and managers, which requires a business-focused cross-functional process. The second key to success is to drive operational performance improvement, which requires a different set of measures with sufficient granularity to define actions. Over the past 10 years, a very workable system has evolved through various approaches used in drilling more than 16,000 wells in the US, South America, and the Middle East. The system has delivered best-in-class performance. It has proven that an effective performance measurement system which addresses both executive requirements and operational requirements can both deliver outstanding results, and also communicate those results, with remarkable value to the organization.  

Author:

John Willis is New Mexico Drilling and Completions Manager for Occidental Oil & Gas Corporation. His responsibilities include all aspects of drilling, fracturing, and completing unconvetional horizonal wells. Prior to this role, he was Chief of Drilling, with responsibility for standards, operational support, global systems, the drilling data system, and tools for drilling performance measurement. Prior to his Chief role, he served as Drilling Manager in Oman and Drilling Manager in Libya. His experience prior to Oxy includes other drilling roles, service company roles related to project management and software development, and he operated a consulting and software business. He has Chaired two SPE Forums, served on Forum Steering Committees, and Chaired the 2003 SPE/IADC Drilling Conference.

Mathematical modeling of phase behavior of multicomponent hydrocarbon mixtures is an essential part of up-to-date practices in petroleum reservoir engineering. Phase behavior calculations form the basis of the PVT software, as well as the 'flash' procedures for determination of phase state and compositions within compositional flow simulators. Adequate description of phase behavior is important for simulation of petroleum production with intensive phase transitions in the reservoir, wells and surface facilities.

One of the key assumptions of industry adopted models is that phase state of the hydrocarbon mixture and phase compositions correspond to the condition of thermodynamic equilibrium. However, there are typical cases for oil and gas-condensate reservoirs when field data are principally inconsistent with equilibrium models. Some examples to give are data of well operation at Novogodneye, Vuktylskoye, Krasnoleninskoye, Kamennoye and many other fields.

In hydrocarbon production, non-equilibrium effects are evident in the following cases:

1) pressure increase in a reservoir (by water or gas injection) following previous pressure depletion with evaluation of the second hydrocarbon phase (liberation of dissolved gas from oil or retrograde condensation in a gas-condensate system) – so-called gas dissolution / condensate evaporation hysteresis;

2) pressure depletion in a gas-condensate reservoir below the maximum condensation pressure (transition from retrograde condensation to direct re-vaporization);

3) gas injection in oil or gas-condensate reservoir.

Similar processes may also take place during hydrocarbon flow in wellbores and surface facilities.

Non-equilibrium effects result in considerable (tens or hundreds percent) deviation of actual reservoir system parameters (saturation pressure, production composition) from their estimates by equilibrium models.

For practical needs, reservoir engineers are limited to either using equilibrium compositional models with no account for non-equilibrium effects, or black oil models with the option of limited gas dissolution /condensate vaporization/ This option is based on a simple technical relation and doesn't consider specific physics of non-equilibrium processes.

In the presentation, methods and algorithms are presented for non-equilibrium phase behavior simulations suitable for wide practical use. A relation is shown between non-equilibrium effects and simulation scale. As the applications, flow simulations with compositional and black oil formulations are considered. Phase behavior simulation cases are shown for real oil and gas-condensate mixtures, including matching of the non-equilibrium condensate recovery dynamics for the late stage of production at the Vuktylskoye field.

Author:

Ilya M. Indrupskiy

Chief researcher / head of Gas-, Oil- and Condensate Recovery Lab of the Oil and Gas Research Institute of the Russian Academy of Sciences (OGRI RAS). Professor of the Applied Mathematics and Computer Modeling Department of the Gubkin State University of Oil and Gas.

Graduated from the Gubkin University with an engineering degree in applied mathematics. Doctor of technical sciences in reservoir engineering. Professor of the Russian Academy of Sciences. Author of more than 150 journal and conference papers and more than 20 patents.

Research area includes improvement of integrated 3D reservoir modeling; forward and inverse problems of fluid flow and thermodynamics in oil and gas reservoirs; development of highly informative well testing and data interpretation methods; advancements in production techniques for hard-to-recover hydrocarbons.

Ilya has a considerable experience in research projects for the Russian Academy of Sciences, as well as for Gazprom Neft, TNK-BP, Rosneft, Lukoil, Gazprom and other companies.

Reliable information about reservoir properties and its variation within the reservoir is a key factor in reducing uncertainty within the choice of an asset development strategy, technological solutions, estimation of recoverable reserves and feasibility of development strategies. In case of waterflood designing or other methods of pressure maintenance for inhomogeneous, anisotropic collector, among necessary initial parameters we need the most accurate data on displacement efficiency, relative phase permeability functions, permeability values ​​along lateral and vertical coordinates, and principal directions of permeability tensor for complex carbonate objects. All those characteristics are currently determined from data of laboratory core studies, with total impossibility to transfer it correctly to the scale and conditions of fluid flow in formation during field development.

For 15 years the authors have been developing new methods and technologies for complex well testing. For each type of research, a specially planned sequence of technological operations, extended complex of hydrodynamic, geophysical measurements and methods production logging provide highly informative data on multidimensional multiphase filtration processes directly at reservoir conditions.

To determine desired reservoir characteristics, obtained data are interpreted by data assimilation within inverse problem solution. Corresponding forward problems are solved in transient, multiphase and / or multidimensional statement, with full consideration for object peculiarities (heterogeneity and anisotropy of formation properties, compressibility of fluids and rocks, possibility of separating dissolved gas, variable mineralization of water, etc.). Solution of corresponding inverse problems is carried out using effective optimization methods and methods of optimal control theory (adjoint method). Algorithms and software have been developed for numerical solution of forward and inverse problems.

A series of patents has been obtained for new methods of well testing and related technical solutions. Technologies are tested on a number of domestic deposits. Substantial results are obtained, new interesting effects are revealed.

Our presentation will highlight the main ideas, achieved results and accumulated experience, with an emphasis on the scientific component of topic considered.

 

S.N. Zakirov, E.S. Zakirov, I.M. Indrupsky, 
D.P. Anikeev, T.N. Tsagan-Mandjiev, M.N. Baganova, OGRI RAS

Author:

Ernest S. Zakirov

 

Professional Characteristic

Doctor of Technical Sciences, Professor of the Russian Academy of Sciences E.S. Zakirov is a leading scientist in the field of modeling oil and gas fields development, development optimization of natural hydrocarbon deposits, history matching of 3D hydrodynamic models, specialized well testing, and an expert in domestic oil and gas projects.

E.S. Zakirov already has published over 225 scientific works, including 7 monographs and 1 book, possesses more than 40 patents for inventions, including international (USA). Prepared 5 candidates of sciences. He is also SPE member.

 

Education

In 1991 he graduated cum laude from Moscow State University named after M.V. Lomonosov.

In 1991-1994 years – post-graduate student of Moscow State University named after M.V. Lomonosov.

In 1997 he defended his candidate degree.

In 2001 he defended his doctoral dissertation.

In 2015, he was elected professor of the Russian Academy of Sciences by the Department of Earth Sciences of the Russian Academy of Sciences.

 

Professional activity

1994 to present time

Principal Researcher of the Gas-Oil-Condensate Recovery Laboratory of Oil and Gas Research Institute of Russian Academy of Sciences.

Creates new and improves existing technologies for oil and gas fields development.

Along with fundamental research, he is engaged in designing and improving development of oil and gas fields, including Yaro-Yakhinskoye, Western Siberia (1997), Severo-Vasyuganskoye, Tomsk Region (1998), Talinskoe field, Western Siberia (2000), Pribrezhnoye field (2001), Prirazlomnoye, the Barents Sea (2002), the Novogodnee. West Siberia (2006).

Since 1991, he has been conducting joint scientific research with Statoil, Norsk Hydro, Verbundnetz Gas, YUKOS, SIDANKO, Lukoil, Rosneft, TNK-BP and other companies.

Attention!

YP February 15 meeting canceled!

Attention!

YP April 12 meeting canceled!

Sunday, 28 January 2018 09:57

New Year for children

On December 23, SPE Moscow section together with Gubkin University SPE Student Chapter organized a charity trip to the social rehabilitation center for minors in Suvorov.

Such trips are organized monthly. A feature of this time was the theatrical production "Bremen Town Musicians", prepared by students. It is also worth noting that each child during the previous trip wrote a letter to Santa Claus, in which he told of his desire. And at the end of the performance, the children were presented with the gifts they had conceived.

We are grateful to the members of the SPE Moscow office for assistance in implementing children's desires: Anton Ablaev, Vlada Streletskaya, Assel Salimova, Veronika Korepanova, Alena Sagon, John Gallivan, Thierry Grussaute, Ilya Novikov, Sergey Kolbikov, Kreso Kurt Butula, Vadim Salyaev, Oleg Zhdaneev; the staff of Salym Petroleum Development: Svyatoslav Kryanev, Yaroslav Gorbachev, Sergey Antipenko, Yevgeny Rodionov, as well as SPE Moscow office and Ltd LUKOIL-Engineering. Thanks to your support, every child could touch the New Year miracle.

More details about the project you can find out on the special page of the site.

We invite you to SPE young professionals meeting on "Shale volume, porosity and translation problems".

To increase the efficiency of field development, more and more wells are drilled with horizontal or high angle section at the end (HAHZ). Despite this, well logging data analysis is based on methodic and models developed using data from vertical and slant wells with relatively low inclination angle. Although it works well for vertical wells, it does not take into account geometric effects associated with high angle of drilling where wells are drilled almost parallel to formation layers. That often leads ambiguities while logging data analysis and formation evaluation in HAHZ wells compared to low angle wells. This fact does not allow using logging data from horizontal wells for geological and hydrodynamic models, which reduces its credibility.

The presentation describes uncertainties that exist when using conventional processing and interpretation techniques in horizontal wells and their causes. For demonstration purpose, the paper uses an example from real well, which has been drilled horizontally in complex environment in one of the field of Western Siberia region of Russia.

Azimuthal measurements application together with advanced modeling software packages enable more reliable estimation of well length exposed to reservoir, spatial position of its boundaries and essential reservoir properties, such as porosity and saturation. As a result, the geological model may be refined locally.

Author:

Bokarev Anton, Schlumberger

Anton was graduated as Oil ang Gas geologist in the Tyumen Industrial University in 2008. At Schlumberger, he has taken the path from the Field Engineer to the international Logging-While-Drilling instructor. He took part in projects in Western and Eastern Siberia, the Timano-Pechora and Caspian regions. Has experience working for foreign projects in the UAE and Oman. Currently he holds the position of Senior Petrophysicist at Schlumberger in Tyumen. The field of expertise of the author is the Logging While Drilling technologies and its practical application. He is the author of 10 scientific articles and patents. Has experience working and teaching abroad.

Sunday, 07 January 2018 00:00

Happy New Year and Merry Christmas!

Colleagues, we wish you a Merry Christmas and a Happy New Year!

The past year turned out to be important for the events - 25 years of the Moscow section, 10 years for the Moscow office and 60 years for the World Community were celebrated!

In the coming year, we will continue to improve and implement new ideas!