2.1. Implications of geoscience–engineering integration
Integration theory originated from system theory, which considers a system to be composed of many interconnected subsystems. Through the collaboration and cooperation of various subsystems, the performance of the system’s functions can be maximized [
7]. Before the 1970s, the exploration and development of oil and gas fields generally adopted a straight-line development mode; more recently, this was followed by a mode combining geoscience and engineering. Cosentino [
8] proposed the concept of an integrated reservoir in the early 21st century, and the integration of exploration and development has become a trend.
In order to develop complex oil and gas reservoirs, geoscience–engineering integration is proposed as an effective management mode. More specifically, in contexts including the production capacity construction, development deployment, development adjustment, and EOR of oil and gas fields, geoscience–engineering integration refers to the overall management, integration, and optimization of various key elements such as geoscience, engineering technology, experts in the field, and economy through technology and management innovation. The essential purpose is to realize the integration of engineering technology and management, improve quality, reduce cost, and increase efficiency.
Geoscience–engineering integration is based on the following four aspects:
(1) Materialization theory: Geoscience–engineering integration is a process of integrating, transforming, and materializing various elements[
9,
10]. It is embodied by the transformation of material and non-material things, such as resources, technology, the environment, and human effort, into engineering practice. The theory, method, and technology of such integration are intended to be both inspected and improved through engineering practice.
(2) Maximum value: The goal of geoscience–engineering integration is to enhance the value of oil and gas reservoirs through the coordinated development of humans, engineering, and the environment [
11]. For a specific oilfield, the value consists of two aspects: high production and efficiency, in order to realize effective exploration and development; and high recovery, in order to recover as much of the crude oil in a formation as possible. Geoscience–engineering integration aims to solve the geological, engineering, economic, and environmental problems encountered in different exploration and development periods, and transform the internal value of the oilfield into external benefits.
(3) Synergic optimization: Geoscience–engineering integration has the characteristics of multi-discipline and multi-program interaction, as well as multi-department, multi-team, and multiprogress intersection. Thus, it combines different systems, departments, and organizations to achieve mutual complementarity, synergy, and improvement. Through the integration, optimization, and innovation of the relevant specialties and technologies, geoscience–engineering integration can gain a multiplicative effect. Moreover, geoscience–engineering integration can integrate and optimize departments and teams to work together toward difficult goals, which will enhance the overall coordination among them; maximize the advantages and potential of human effort, technology, society, and the environment; improve efficiency; and coordinate operations.
(4) Innovation-driven: As the core of geoscience–engineering integration, innovation includes technological innovation, management innovation, and mode innovation. Basic theoretical innovation, single-technique innovation, and technology-integration innovation will optimize the technologies and stimulate the development of geoscience–engineering integration. Management innovation will solve system and mechanism constraints while enhancing operational efficiency and benefits. Mode innovation will achieve overall project optimization.
2.2. The management mode of geoscience–engineering integration
Oil and gas development is composed of various geological and engineering factors. Different oil and gas reservoir types, different development stages, and different market environments will result in different management modes of geoscience–engineering integration. However, the following four basic elements are the key to the effective implementation of geoscience–engineering integration: an integrated goal, an integrated data platform, an integrated team, and integrated management (Fig. 1).
Fig. 1. The proposed geoscience–engineering integration model framework. EUR: estimated ultimate recovery.
2.2.1. An integrated goal
The integrated goal of geoscience–engineering integration is to improve the value of reservoirs by seeking estimated ultimate recovery (EUR), EOR, efficiency, and economic profit while being environmentally friendly. According to the specific development objects, factors such as resources, production, the economy, the environment, and society should be taken into account in the integration project. Project targets involving the project lifecycle, progress, quality, technology, cost, and the environment should be formulated, and a corresponding control system should be established.
2.2.2. An integrated data platform
A reservoir is an extremely complex geological body, and its characteristics must be described from various aspects based on a large amount of information and data. The process of oil and gas exploration and development is also associated with data. To ensure the continuity, inheritance, and consistency of data, an integrated data platform must be established to realize data intercommunication and sharing.
The first step in establishing an integrated data platform is the acquirement and analysis of data. It is necessary to make full use of existing data resources. All-encompassing and high-precision realtime acquisition of relevant geological, engineering, experimental, and production data should be conducted to reduce uncertainty. It is also important to strengthen data mining and application, discover physical principles from the data, and establish corresponding mathematical models. In order to construct relationships between the data and the reservoir, the second step is to establish a geoscience–engineering integration knowledge base that covers the entire process of oil and gas development and the entire industry chain. Statistical learning and data deterministic analysis should be carried out based on the reservoir development characteristics. Finally, the data must be updated in a timely manner to ensure its timeliness and authenticity.
2.2.3. An integrated team
During the process of integration implementation, in addition to establishing an integrated data platform, it is necessary to build an engineering team with an integrated concept to enable technicians from different specialties to work efficiently with each other. Team members should focus on learning and self-improvement. To ensure the achievement of goals and tasks, the technical level, innovation ability, and work efficiency of the integrated team should be continuously improved. Team members with different specialties should work together to avoid so-called ‘‘disciplinary bias.” They should understand the overall workflow and targets of the integration project. Furthermore, responsibility, power, and income should be assigned to every staff member clearly and quantitatively.
2.2.4. Integrated management
Various departments, specialties, and technologies should be combined together in an appropriate way to achieve efficiency and multiply benefits. Workflow with immediate feedback should be established for integrated management system optimization (Fig. 2). Not only should technical weakness be avoided, but also resources should not be concentrated in one single specific major or technology. In other words, both the cask effect (i.e., the capacity of a bucket depends on the shortest board) and the Matthew effect (i.e., economic advantages tend to accumulate in one area) must be avoided.
Fig. 2. The integrated management operation mode.
Geoscience–engineering integration changes the traditional operation mode and decision-making system. Professional business application in the traditional mode is transformed into cross-professional business collaboration, in which the barriers among different departments are broken down. Traditional piecewise management is changed into closed-loop management in the integrated mode. Moreover, traditional local coordination is changed into online coordination, and inward operation is changed into inward–outward operation. As a result, the processing, decision-making, and implementation levels can be comprehensively improved.