An Infill Well Fracturing Model and Its Microseismic Events Barrier Effect: A Case in Fuling Shale Gas Reservoir
Bibliographic record
Abstract
Summary A microseismic (MS) events barrier (MSEB) phenomenon was detected during infill well fracturing of the Fuling shale gas reservoir. This phenomenon was evidenced by MS monitoring results, indicating that when the infill well hydraulic fracture (HF) propagated close to the parent well stimulated region, only a main straight fracture was propagating. Also, the number of seismic events diminished abruptly, suggesting some barrier or an attenuation process for the MS. To clarify the mechanisms involved in the MSEB effect, the infill well fracture propagation is investigated. An integrated workflow is proposed to analyze complex HF propagation of an infill well after the offset parent wells have experienced fracturing and production. The workflow integrates a geological model with natural fractures, a parent well fracturing geomechanical model, a coupled flow-geomechanics production model, and an infill well fracturing geomechanical model. First, a natural fracture network is embedded in the realistic geological model. Second, a geomechanical fracturing model is developed to simulate HF of parent wells. Third, a coupled flow-geomechanics model is used to analyze stress field evolution during parent well production. Fourth, complex HF propagation for the infill well is simulated. The case model is validated with parent well production data and infill well fracturing MS monitoring results. It can be concluded from the simulation results that (1) during parent well production, the pre-existing complex fracture network is a major contributor to pore-pressure decrease; (2) stress evolution is affected by the geomechanical heterogeneity; (3) near the parent well producing fractured region, the fracture complexity of the infill well stimulation decreases sharply and that matches well with the MS monitoring results; and (4) there are two primary mechanisms that are responsible for the MSEB phenomenon—natural fracture (NF) activation during parent well fracturing and stress evolution in parent well production. The Fuling shale gas reservoir infill well fracturing case study reveals the mechanism of the MSEB effect by demonstrating the impact of parent well production on infill well fracturing. To serve the fracture-hits evaluation and to maximize the stimulated reservoir volume (SRV), the MSEB effect should be taken into consideration in infill well fracturing design.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".