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Geologic storage of CO2 has gained significance, largely due to it being a green-house gas (GHG) and concerns related to impacts on climate from GHG emissions. The literature and experience from industrial analogs indicate that wellbores (both active/inactive or abandoned) may represent the most likely route for escape of the injected CO2 from the storage reservoirs. Therefore, sound injection well design and life cycle well integrity of all wells is of critical importance in such projects, particularly from a storage perspective of 1000 years or more. Challenges related to safe long-term CO2 storage and its economics, principally in deep saline formations and to a lesser extent in depleted oil and gas reservoirs, can be broken down into two main categories: (1) Well integrity challenges and (2) Injectivity or Regularity challenges. This presentation will present key engineering factors that have to be addressed from a well integrity (primary) and injectivity/injected volume (secondary) perspective to enable a CO2 geologic storage project to be a success.
Rate of Penetration (ROP) is defined as the volume of rock removed per unit area (ft) per unit time (hr). This important measurement factor is often captured by many drilling companies to gauge the speed and the efficiency of the time spent to drill a section. It has been reported in the industry that high percentage of the well budget is spent on the drilling phase, thus many drilling operators pay close attention to this factor and try to optimize it as much as possible. However, it is very challenging to capture the effect of each individual parameter since most of them are interconnected, and changing one parameter affects the other. As a result, many companies maintain data for the drilling performance per field and set certain benchmarks to gauge the speed of any newly drilled well. To date, no solid or reliable model exists because of the complexity of the drilling process, therefore, the utilization of artificial intelligence (AI) in drilling applications is a game changer since most of the unknown parameters are accounted for during the modeling or training process.
Most SPE webinars are free to members and include live presentations, on-demand online training courses, and videos sponsored by the SPE Foundation. Expert Hour Webinars are corporate-sponsored presentations that provide technical content to both SPE and non-members. Take a look at SPE Connect! This is where SPE members can virtually communicate, exchange knowledge, and collaborate with other members from around the world. SPE members get registration discounts to hundreds of conferences, workshops, and courses every year.
The Ambassador Lecturer Program invites Young Professionals to present and share their experiences with local SPE chapters, universities, and schools. The Career Pathways Fair gives you a chance to meet with specialists from multiple disciplines and gain insight into possible career paths. Held several times throughout the year, this event provides students, recent graduates, and Young Professionals an opportunity to speak with experienced professionals in an informal environment. Gain industry insights and practical career advice from experienced professionals through the eMentoring program. Young Professionals also have the unique opportunity to serve as mentors to students.
This one-hour webinar will introduce you to a practical, user-friendly approach to negotiation & conflict resolution known as the mutual gains model and its seven elements. Maria Fitch specializes in negotiation, conflict resolution, communication, and leadership training and has over 15 years of teaching, training, and consulting experience.
As global professional technical groups, SPE technical section members benefit from a number of programs available to participate in. Provided are a few examples of these activities. Work with geographic section officers in proposing discussion topics and inviting subject matter experts to speak at a section meeting. Serve as mentors to share industry insights and career advice with young professionals or students. Serve as resource for SPE staff (identify speakers, program committee members).
Oil and gas drilling schemes are inherently complex systems comprising different technical disciplines and multiple interconnected, globally diverse stakeholders, operating within a dynamic environmental and legislative environment. This presents numerous challenges to traditional project management which assumes a very'reductionist lens' and which fails to account for the impact of dynamic internal and external forces on the'soft' boundaries of the project domain. Oil and gas projects are characterised by extreme difficulty in predicting outcomes and system behaviours and, at the tails of the distribution of events, 'black-swans' do occur. This increases project and business risk for stakeholders and affects value creation and appropriation opportunities. The Webinar argues that a holistic understanding of oil and gas drilling projects is necessary to account for the experiences, politics, human interactions, emergence and complex behaviour of individuals and teams, both internal and external to the project environment.
The Implementation of Big Data and Machine Learning (ML) processes as part of the Fourth Industrial Revolution (4IR) are already having a significant impact in the Oil & Gas Industry. Where direct access of streaming data to Big Data Systems is possible, the ML Algorithms are able to improve operational efficiency with a corresponding significant reduction in costs. Today the identification and reduction of both Invisible Lost Time (ILT) and Non-Productive Time (NPT) is even more critical than it has ever been in the past as many projects strive to maximise the rate of return on investments. However, many remote sites are linked to Big Data Systems through a lower bandwidth satellite system, resulting in loss of data granularity and time lags that make the response times of analytical solutions based upon ML processes too slow to be of any immediate value to the well construction process. As a consequence, it is vital to move the ML Algorithms as close to the source of the data as possible.
Благодаря развитию и широкому применению современных приборов каротажа во время бурения и повсеместному бурению горизонтальных скважин, появилась возможность по новому взглянуть на седиментологию многих терригенных резервуаров прибрежно-морского и дельтового генезиса, разбивая один интервал, казавшийся ранее монолитным, на несколько циклов осадконакопления. Анализ геолого-петрофизической информации по многим резервуарам показал, что зачастую казавшиеся ранее монолитными пласты накапливались циклично, причем границы седиментационных циклитов соответствуют зонам значительных изменений ФЕС коллектора (например, значения проницаемости могут различаться более чем в десять раз). При этом, следует учитывать тот факт, что, вследствие фациальной разнородности, в пределах каждого отдельного циклита свойства могут серьезно варьироваться вследствие латеральной фациальной изменчивости, однако практически в каждом случае сохраняется вертикальная анизотропия на границах различных циклитов. Возможность в корректировки структурного каркаса вдоль всей длины ствола скважины (без привлечения дорогостоящих картографов границ) позволяет значительно уточнить существующие геологические модели по результатам бурения. Понимание простирания циклов осадконакопления (наряду с другой геолого-геофизической информацией) позволяет корректно экстраполировать интервалы коллектора, зачастую за пределы принятых контуров залежи, тем самым приращивая запасы (что было подтверждено по результатам бурения на ряде месторождений), а также позволяет более детально подходить к планированию ГРП. Спикер: Андрей Грязнов, Главный специалист по геологии Департамента консультирования по новым технологиям разработки компании Бейкер Хьюз